Social Media Analytics Internship, Spring 2020– Orlando, FL Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts. CIMA influences decision making with integrated, objective, and actionable insights. We Are… Within CIMA, the Consumer Insight, Social Media Analytics team drives value by developing a deep understanding of consumers and Guests within social media environments that is leveraged to identify improvement opportunities and influence key strategies across the business. Responsibilities :
A Day in the Life
Analyzing social media data through social listening tools and manual tagging methods
Utilize query building to discover, analyze, and synthesize social media conversation data around Disney Parks and Resorts brands into reports that effectively communicate social media insight to partners
Maintain internal database of catalogued reports and investigate trends
Provide data mining and statistical analysis to address key business issues, make recommendations accordingly, and produce regular (e.g., weekly, monthly, quarterly) reports for key recurring metrics
Basic Qualifications :
What You Bring to the Role
Proven ability in Microsoft Excel, Word, Pages and Keynote (Mac)
Strong writing skills with the ability to synthesize large amounts of data, put together insights and present a story
Proven competency across social media platforms including Facebook, Twitter, Instagram, YouTube, Tumblr, Google+, Snapchat, and Pinterest
Experience using Boolean Search Language
Ability to develop expertise in complex keyword search expressions, linguistic operators and qualifiers, pattern detection, and regular expressions
Familiarity with text analytics techniques such as topic modeling, content categorization, sentiment analysis, and entity extraction
Proven self-starter and ability to balance multiple priorities in a fast-paced environment
Excellent analytical, organizational and problem-solving skills
Preferred Qualifications:
Fluent language abilities in Spanish and/or Portuguese
Intermediate to advanced skills in Microsoft Excel; Interest in math and/or statistics a plus
Experience using Social Listening tools
Experience in SAS Contextual Analysis, or other text analytics tools
Required Education :
Current Senior or higher obtaining (or recently graduated with) a degree in Marketing, Economics, Psychology, Statistics, Business or other related field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Aug 20, 2019
Internship
Social Media Analytics Internship, Spring 2020– Orlando, FL Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts. CIMA influences decision making with integrated, objective, and actionable insights. We Are… Within CIMA, the Consumer Insight, Social Media Analytics team drives value by developing a deep understanding of consumers and Guests within social media environments that is leveraged to identify improvement opportunities and influence key strategies across the business. Responsibilities :
A Day in the Life
Analyzing social media data through social listening tools and manual tagging methods
Utilize query building to discover, analyze, and synthesize social media conversation data around Disney Parks and Resorts brands into reports that effectively communicate social media insight to partners
Maintain internal database of catalogued reports and investigate trends
Provide data mining and statistical analysis to address key business issues, make recommendations accordingly, and produce regular (e.g., weekly, monthly, quarterly) reports for key recurring metrics
Basic Qualifications :
What You Bring to the Role
Proven ability in Microsoft Excel, Word, Pages and Keynote (Mac)
Strong writing skills with the ability to synthesize large amounts of data, put together insights and present a story
Proven competency across social media platforms including Facebook, Twitter, Instagram, YouTube, Tumblr, Google+, Snapchat, and Pinterest
Experience using Boolean Search Language
Ability to develop expertise in complex keyword search expressions, linguistic operators and qualifiers, pattern detection, and regular expressions
Familiarity with text analytics techniques such as topic modeling, content categorization, sentiment analysis, and entity extraction
Proven self-starter and ability to balance multiple priorities in a fast-paced environment
Excellent analytical, organizational and problem-solving skills
Preferred Qualifications:
Fluent language abilities in Spanish and/or Portuguese
Intermediate to advanced skills in Microsoft Excel; Interest in math and/or statistics a plus
Experience using Social Listening tools
Experience in SAS Contextual Analysis, or other text analytics tools
Required Education :
Current Senior or higher obtaining (or recently graduated with) a degree in Marketing, Economics, Psychology, Statistics, Business or other related field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Reporting to the Vice President of Finance, Administration and Treasurer (“Treasurer”), the Director of Data Analytics will provide leadership, development, implementation and evaluation of the College’s enrollment management modeling, tuitions and fees pricing, and data warehouse integration, needs and communications. This position will exercise considerable discretion and judgement and project management for related activities and requires expertise in data analysis, statistical methods and financial modeling.
This is a full-time position for a period of up to two years. The ideal candidate is sharp, innovative, driven, has great attention to detail and an excellent ability to communicate productively and congenially with a variety of constituents. This position requires the ability to manage a demanding workload with multiple projects and deadlines and negotiate expectations against priorities and resources.
You can learn more about our team in the Office of the Treasurer by visiting us online.
Note : This is a summary of the essential functions and requirements for the position; a detailed description is available at the hyperlink listed below.
ESSENTIAL FUNCTIONS:
Lead the development of enrollment model(s) integrated to the College’s revenue budget.
Conduct enrollment modeling for growth or changing financial aid strategies.
Provide high-level expertise in data analysis. Conduct pricing analyses for tuition, housing and other College fees.
Build, lead, and facilitate the integration of the data warehouse across the institution.
Collect, prepare and maintain institutional data in a variety of formats for senior leadership, the Board of Trustees, the Faculty Executive Committee and other committees as requested.
Promote and develop opportunities to improve business intelligence across the institution.
Manage related projects for data analyses, enhancements or updates, new system integrations and implementations, and related activities.
Prepare and lead communications regarding complex data to various constituents.
Assist with the development of department and institutional dashboards and designing reports.
Research, evaluate and recommend protocols and technologies to enhance data collection, quality and usage across the institution. Establish and document best practices for data technologies, tools and processes.
Work Hours: This is a full-time, interim position working up to two years. The regular hours for this position are 8:00 am to 5:00 pm, Monday through Friday. These hours may vary due to needs of the College or department. May require occasional evening or weekend work.
REQUIREMENTS:
Expert knowledge of data analysis, statistical methods and financial modeling, preferably in a higher education setting.
Demonstrated knowledge in the areas of trend and market analysis, and statistical analysis.
Strong computer skills.
Ability to synthesize and translate highly technical data into meaningful, clear and concise information for a variety of audiences.
Demonstrated project management skills.
Superior communications skills in English.
Exceptional organizational skills.
Ability to work collaboratively in an academic environment with a diverse community of senior leadership, staff, faculty, students and other stakeholders.
Strong interpersonal skills and adaptability. Diplomatic and persuasive in dealing with competing priorities and limited resources. Adapt to changes and manage unexpected delays or events with aplomb.
Demonstrated skills in conducting research, preferably in a higher education setting with respect to admission, enrollment and tuition and fees. Ability and commitment to stay current in financial trends in higher education.
Ability to operate with considerable degree of independence, initiative, and judgment. Strong problem-solving skills, accountability and attention to detail.
Education: Must have a master’s degree in business or applied analytics, data science, statistical analysis or a related field; or an equivalent combination of education and relevant experience to provide the required knowledge, skills and abilities.
Experience: Must have at least five years related experience (preferably in higher education), including some project management experience. Demonstrated experience preparing financial models.
COMPENSATION:
Pay Rate: The monthly rate is commensurate with qualifications plus excellent benefits subject to the term and conditions in the policy or plan documents.
Benefits: This position is eligible for the College’s full program of employee benefits subject to the terms and conditions in the plan documents/policies for an interim position, including: medical, dental, vision, group life insurance of at least $20,000, 12% employer retirement contributions after one year, gym/fitness resources (including a personal trainer), free parking, and more. Note: Restrictions or service requirements apply . Visit our website for additional details.
TO APPLY:
Priority Deadline: Review of applications will commence immediately.
Please click the "Apply Now" button on this page to submit the following documents:
Cover Letter
Resume
Additionally, please visit the following link to be directed to an online Box folder to view the full job description, download the Staff Employment Application Form (required) and Applicant Information Form (optional).
https://pitzer.box.com/s/ieidn2xgepxhvmr2iddw7vye94fyzgbk
Note: Applicants selected for interview will be asked to provide three (3) professional references.
Aug 16, 2019
Full-time
Reporting to the Vice President of Finance, Administration and Treasurer (“Treasurer”), the Director of Data Analytics will provide leadership, development, implementation and evaluation of the College’s enrollment management modeling, tuitions and fees pricing, and data warehouse integration, needs and communications. This position will exercise considerable discretion and judgement and project management for related activities and requires expertise in data analysis, statistical methods and financial modeling.
This is a full-time position for a period of up to two years. The ideal candidate is sharp, innovative, driven, has great attention to detail and an excellent ability to communicate productively and congenially with a variety of constituents. This position requires the ability to manage a demanding workload with multiple projects and deadlines and negotiate expectations against priorities and resources.
You can learn more about our team in the Office of the Treasurer by visiting us online.
Note : This is a summary of the essential functions and requirements for the position; a detailed description is available at the hyperlink listed below.
ESSENTIAL FUNCTIONS:
Lead the development of enrollment model(s) integrated to the College’s revenue budget.
Conduct enrollment modeling for growth or changing financial aid strategies.
Provide high-level expertise in data analysis. Conduct pricing analyses for tuition, housing and other College fees.
Build, lead, and facilitate the integration of the data warehouse across the institution.
Collect, prepare and maintain institutional data in a variety of formats for senior leadership, the Board of Trustees, the Faculty Executive Committee and other committees as requested.
Promote and develop opportunities to improve business intelligence across the institution.
Manage related projects for data analyses, enhancements or updates, new system integrations and implementations, and related activities.
Prepare and lead communications regarding complex data to various constituents.
Assist with the development of department and institutional dashboards and designing reports.
Research, evaluate and recommend protocols and technologies to enhance data collection, quality and usage across the institution. Establish and document best practices for data technologies, tools and processes.
Work Hours: This is a full-time, interim position working up to two years. The regular hours for this position are 8:00 am to 5:00 pm, Monday through Friday. These hours may vary due to needs of the College or department. May require occasional evening or weekend work.
REQUIREMENTS:
Expert knowledge of data analysis, statistical methods and financial modeling, preferably in a higher education setting.
Demonstrated knowledge in the areas of trend and market analysis, and statistical analysis.
Strong computer skills.
Ability to synthesize and translate highly technical data into meaningful, clear and concise information for a variety of audiences.
Demonstrated project management skills.
Superior communications skills in English.
Exceptional organizational skills.
Ability to work collaboratively in an academic environment with a diverse community of senior leadership, staff, faculty, students and other stakeholders.
Strong interpersonal skills and adaptability. Diplomatic and persuasive in dealing with competing priorities and limited resources. Adapt to changes and manage unexpected delays or events with aplomb.
Demonstrated skills in conducting research, preferably in a higher education setting with respect to admission, enrollment and tuition and fees. Ability and commitment to stay current in financial trends in higher education.
Ability to operate with considerable degree of independence, initiative, and judgment. Strong problem-solving skills, accountability and attention to detail.
Education: Must have a master’s degree in business or applied analytics, data science, statistical analysis or a related field; or an equivalent combination of education and relevant experience to provide the required knowledge, skills and abilities.
Experience: Must have at least five years related experience (preferably in higher education), including some project management experience. Demonstrated experience preparing financial models.
COMPENSATION:
Pay Rate: The monthly rate is commensurate with qualifications plus excellent benefits subject to the term and conditions in the policy or plan documents.
Benefits: This position is eligible for the College’s full program of employee benefits subject to the terms and conditions in the plan documents/policies for an interim position, including: medical, dental, vision, group life insurance of at least $20,000, 12% employer retirement contributions after one year, gym/fitness resources (including a personal trainer), free parking, and more. Note: Restrictions or service requirements apply . Visit our website for additional details.
TO APPLY:
Priority Deadline: Review of applications will commence immediately.
Please click the "Apply Now" button on this page to submit the following documents:
Cover Letter
Resume
Additionally, please visit the following link to be directed to an online Box folder to view the full job description, download the Staff Employment Application Form (required) and Applicant Information Form (optional).
https://pitzer.box.com/s/ieidn2xgepxhvmr2iddw7vye94fyzgbk
Note: Applicants selected for interview will be asked to provide three (3) professional references.
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, Parks & Resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Imagine yourself as a Workforce Analyst in People Insights where your natural curiosity for discovering analytical insights and trends will help ensure we are making data-driven decisions within Human Resources. In this role, you will be able to blaze new paths in this data rich environment through the discovery of analytical workforce insights and employee related research. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex analysis, compelling storytelling, and data visualization. You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from analytics to modeling to dashboards that provide decision support for workforce related issues.
Responsibilities :
Provide consultative support and ensure consistent reporting, forecasting, and diagnostic analyses of business issues for the organization
Work collaboratively with other team members to develop comprehensive yield modeling which supports key priorities through rigorous analysis and scenario planning
Measure the effectiveness of HR efforts by using comprehensive set of statistical techniques to conduct complex business analyses.
Connect and transform data from multiple HR systems into actionable analysis, dashboards, and forecasts that support the business needs of the HR organization
Leverage data visualization skills and tools such as Tableau to translate multifaceted HR analytics data into dynamic actionable reporting
Collaborate across boundaries to build and drive both internal and external partnerships to support synergistic opportunities, achievement of shared objectives, and connectivity of information
Drive process improvement initiatives to optimize HR efficiencies
Basic Qualifications :
You have deep knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You have strong data visualization skills including the ability to translate multi-dimensional data into clear and concise storytelling that provides actionable insights
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends
You can effectively handle and maintain confidential information
You have strong working knowledge of SAP administration tools, Microsoft suite (Access, Excel, PowerPoint, Sharepoint, Word, and Project), and proven familiarity with data visualization tools (Tableau) and statistical software (SAS, R)
Required Education :
BA/ BS in Mathematics, Statistics , or related field
Aug 09, 2019
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, Parks & Resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Imagine yourself as a Workforce Analyst in People Insights where your natural curiosity for discovering analytical insights and trends will help ensure we are making data-driven decisions within Human Resources. In this role, you will be able to blaze new paths in this data rich environment through the discovery of analytical workforce insights and employee related research. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex analysis, compelling storytelling, and data visualization. You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from analytics to modeling to dashboards that provide decision support for workforce related issues.
Responsibilities :
Provide consultative support and ensure consistent reporting, forecasting, and diagnostic analyses of business issues for the organization
Work collaboratively with other team members to develop comprehensive yield modeling which supports key priorities through rigorous analysis and scenario planning
Measure the effectiveness of HR efforts by using comprehensive set of statistical techniques to conduct complex business analyses.
Connect and transform data from multiple HR systems into actionable analysis, dashboards, and forecasts that support the business needs of the HR organization
Leverage data visualization skills and tools such as Tableau to translate multifaceted HR analytics data into dynamic actionable reporting
Collaborate across boundaries to build and drive both internal and external partnerships to support synergistic opportunities, achievement of shared objectives, and connectivity of information
Drive process improvement initiatives to optimize HR efficiencies
Basic Qualifications :
You have deep knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You have strong data visualization skills including the ability to translate multi-dimensional data into clear and concise storytelling that provides actionable insights
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends
You can effectively handle and maintain confidential information
You have strong working knowledge of SAP administration tools, Microsoft suite (Access, Excel, PowerPoint, Sharepoint, Word, and Project), and proven familiarity with data visualization tools (Tableau) and statistical software (SAS, R)
Required Education :
BA/ BS in Mathematics, Statistics , or related field
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture data, perform analysis and optimize our websites to drive Guest satisfaction and business outcomes. The Digital Analyst must possess a passion for analytics and digital technology. He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, preparing reports, and communicating insights to a variety of audiences. The position reports to the Manager, Travel Operations Analytics and does not have direct reports.
Responsibilities :
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance of the digital channel.
Generate insight from site data and communicate opportunities or issues.
Collaborate with business, technology and analytics partners to determine needs and assist with defining data collection requirements.
Work with implementation specialists to validate website tracking.
Design effective and impactful reports and visualizations for business and technical audiences.
Leverage analytics to continuously recommend optimization tactics that will improve site performance.
Support business unit teams, product management groups and other teams with ad-hoc reporting and in-depth website analysis.
Define and execute quality assurance procedures to ensure accuracy of analytical output.
Create presentations to highlight analysis and tell the story.
Basic Qualifications :
3+ years relevant work experience in an analytical field
2+ years of experience with web analytics tools such as Adobe SiteCatalyst or Google Analytics
Familiarity with mobile/app analytics tools (e.g. Adobe Mobile SDK)
Ability to design tagging strategies and effectively QA analytics tracking on mobile platforms
Experience with push and in-app messaging analytics
Ability to derive actionable insights from data and effectively guide decision-making
Ability to manage multiple priorities in a fast-paced, complex business environment
Excellent written and verbal communication skills
Proactive problem-solving and critical thinking skills
Ability to manage time effectively and consistently meet deadlines
Proficient in Microsoft Office suite
Preferred Qualifications:
5+ years web analytics experience
Travel industry and ecommerce experience
Experience with A/B testing and website optimization
Ability to apply statistical rigor to analyses
Knowledge of web page construction and/or user experience design
Experience with business intelligence tools
Experience with SQL, Hive, SAS and/or other programming languages
Required Education :
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc.
Preferred Education :
Master’s degree in an analytical/quantitative field or equivalent work experience
Aug 09, 2019
Full-time
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture data, perform analysis and optimize our websites to drive Guest satisfaction and business outcomes. The Digital Analyst must possess a passion for analytics and digital technology. He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, preparing reports, and communicating insights to a variety of audiences. The position reports to the Manager, Travel Operations Analytics and does not have direct reports.
Responsibilities :
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance of the digital channel.
Generate insight from site data and communicate opportunities or issues.
Collaborate with business, technology and analytics partners to determine needs and assist with defining data collection requirements.
Work with implementation specialists to validate website tracking.
Design effective and impactful reports and visualizations for business and technical audiences.
Leverage analytics to continuously recommend optimization tactics that will improve site performance.
Support business unit teams, product management groups and other teams with ad-hoc reporting and in-depth website analysis.
Define and execute quality assurance procedures to ensure accuracy of analytical output.
Create presentations to highlight analysis and tell the story.
Basic Qualifications :
3+ years relevant work experience in an analytical field
2+ years of experience with web analytics tools such as Adobe SiteCatalyst or Google Analytics
Familiarity with mobile/app analytics tools (e.g. Adobe Mobile SDK)
Ability to design tagging strategies and effectively QA analytics tracking on mobile platforms
Experience with push and in-app messaging analytics
Ability to derive actionable insights from data and effectively guide decision-making
Ability to manage multiple priorities in a fast-paced, complex business environment
Excellent written and verbal communication skills
Proactive problem-solving and critical thinking skills
Ability to manage time effectively and consistently meet deadlines
Proficient in Microsoft Office suite
Preferred Qualifications:
5+ years web analytics experience
Travel industry and ecommerce experience
Experience with A/B testing and website optimization
Ability to apply statistical rigor to analyses
Knowledge of web page construction and/or user experience design
Experience with business intelligence tools
Experience with SQL, Hive, SAS and/or other programming languages
Required Education :
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc.
Preferred Education :
Master’s degree in an analytical/quantitative field or equivalent work experience
Data Analytics: Project Business Analyst Intern, Spring 2020 - Orlando, FL We Are… The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. Responsibilities :
A Day in the Life:
Supporting the development & implementation of advanced decision & pricing engines for WDP&R
Facilitate sessions to solicit business requirements from partners, document requirements, solicit feedback and revise
Support the project in the test execution stage by building out test cases (the what needs to be tested), writing test scripts (the how to test), executing the testing and reporting on results
Monitoring project processes and continuously improve the processes
Leveraging technology, data analytics and statistical modeling to explore opportunities, answer difficult business questions and drive business value
Partnering with cross-functional teams to deliver creative solutions to complex problems
Developing automated analytical solutions
Basic Qualifications :
What You Bring to the Role:
Strategic problem solving & analytical skills
Experience writing technical documents
Database knowledge and understanding of SQL
Excellent oral/written communication skills
Intense attention to detail
Experience collecting & analyzing data and reporting on the results
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Proficiency in Microsoft Excel
Preferred Qualifications:
Advanced knowledge of SQL or other data manipulation tools
Knowledge of Software Development Lifecycle and/or Project Management methodologies
Knowledge of testing methodologies, specifically automated
Familiarity with Tableau or other data visualization tools (Qlikview, Power BI, etc)
Required Education :
Junior or higher working towards (or recently graduated with) a Bachelor’s degree in an analytical field including Economics, Industrial Engineering, Statistics, Mathematics or other related quantitative field
GPA of 3.0 or higher
Preferred Education :
Working towards (or recently graduated with) a Master’s degree in a related quantitative field
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Aug 21, 2019
Internship
Data Analytics: Project Business Analyst Intern, Spring 2020 - Orlando, FL We Are… The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. Responsibilities :
A Day in the Life:
Supporting the development & implementation of advanced decision & pricing engines for WDP&R
Facilitate sessions to solicit business requirements from partners, document requirements, solicit feedback and revise
Support the project in the test execution stage by building out test cases (the what needs to be tested), writing test scripts (the how to test), executing the testing and reporting on results
Monitoring project processes and continuously improve the processes
Leveraging technology, data analytics and statistical modeling to explore opportunities, answer difficult business questions and drive business value
Partnering with cross-functional teams to deliver creative solutions to complex problems
Developing automated analytical solutions
Basic Qualifications :
What You Bring to the Role:
Strategic problem solving & analytical skills
Experience writing technical documents
Database knowledge and understanding of SQL
Excellent oral/written communication skills
Intense attention to detail
Experience collecting & analyzing data and reporting on the results
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Proficiency in Microsoft Excel
Preferred Qualifications:
Advanced knowledge of SQL or other data manipulation tools
Knowledge of Software Development Lifecycle and/or Project Management methodologies
Knowledge of testing methodologies, specifically automated
Familiarity with Tableau or other data visualization tools (Qlikview, Power BI, etc)
Required Education :
Junior or higher working towards (or recently graduated with) a Bachelor’s degree in an analytical field including Economics, Industrial Engineering, Statistics, Mathematics or other related quantitative field
GPA of 3.0 or higher
Preferred Education :
Working towards (or recently graduated with) a Master’s degree in a related quantitative field
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Merchandise Revenue Management Analyst Internship, Spring 2020 - Orlando, FL The Revenue Management and Analytics (RM&A) team supports clients across Walt Disney Parks & Resorts including Ticketing, Resorts, Merchandise and Food & Beverage in the core competencies of yield management, revenue planning, forecasting, pricing, promotions and optimization. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment. Responsibilities :
A Day in the Life:
Leverage technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value at local and domestic theme park and resort businesses
Build complex financial models/analysis to identify trends, patterns and irregularities in key business metrics in order to drive pricing and other business decisions
Consolidate inputs from multiple areas and analyzing historical data to better understand Guest behavior, optimize pricing, and influence forecasts, plans and strategic growth initiatives
Develop automated analytical solutions to analyze pricing decisions and determine the elasticity of products
Design analytical tools and dashboards to guide team in making pricing decisions based on historical demand and forecasts
Basic Qualifications :
What You Bring to the Role:
Creative problem solving and analytical skills
Strong oral and written communication skills
Experience gathering, analyzing, and interpreting data and reporting on the results
Database knowledge and understanding of SQL
Strong proficiency in Microsoft Excel
Knowledge of statistical modeling and related concepts (e.g. regression, ANOVA)
Strong organizational skills and attention to detail
Strong sense of responsibility, ownership, and pride in delivering quality results for the Merchandise line of business
Preferred Qualifications:
Experience with Python, R, and/or VBA
Experience using machine learning algorithms
Familiarity with Tableau or similar data visualization tools
Previous experience in an analytical field, preferably in Merchandise
Required Education :
Junior or higher working towards (or recently graduated with) a degree in Statistics, Data Analytics, Economics, Mathematics, Industrial Engineering, Computer Science or other related quantitative field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Aug 20, 2019
Internship
Merchandise Revenue Management Analyst Internship, Spring 2020 - Orlando, FL The Revenue Management and Analytics (RM&A) team supports clients across Walt Disney Parks & Resorts including Ticketing, Resorts, Merchandise and Food & Beverage in the core competencies of yield management, revenue planning, forecasting, pricing, promotions and optimization. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment. Responsibilities :
A Day in the Life:
Leverage technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value at local and domestic theme park and resort businesses
Build complex financial models/analysis to identify trends, patterns and irregularities in key business metrics in order to drive pricing and other business decisions
Consolidate inputs from multiple areas and analyzing historical data to better understand Guest behavior, optimize pricing, and influence forecasts, plans and strategic growth initiatives
Develop automated analytical solutions to analyze pricing decisions and determine the elasticity of products
Design analytical tools and dashboards to guide team in making pricing decisions based on historical demand and forecasts
Basic Qualifications :
What You Bring to the Role:
Creative problem solving and analytical skills
Strong oral and written communication skills
Experience gathering, analyzing, and interpreting data and reporting on the results
Database knowledge and understanding of SQL
Strong proficiency in Microsoft Excel
Knowledge of statistical modeling and related concepts (e.g. regression, ANOVA)
Strong organizational skills and attention to detail
Strong sense of responsibility, ownership, and pride in delivering quality results for the Merchandise line of business
Preferred Qualifications:
Experience with Python, R, and/or VBA
Experience using machine learning algorithms
Familiarity with Tableau or similar data visualization tools
Previous experience in an analytical field, preferably in Merchandise
Required Education :
Junior or higher working towards (or recently graduated with) a degree in Statistics, Data Analytics, Economics, Mathematics, Industrial Engineering, Computer Science or other related quantitative field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Pricing, Forecasting & Planning Internship, Spring 2020 - Orlando, FL The Revenue Planning organization supports clients across Disney Parks, Experiences & Consumer Products in the core competencies of Pricing Strategy, Yield Management, and Revenue Planning & Forecasting. We Are:
The Pricing Strategy department, responsible for driving strategic revenue objectives for all Walt Disney World Parks & Resorts Lines of Business (Tickets, Resorts, and Food & Beverage and Merchandise). We provide strategic support to optimize demand and grow long-term profitability. Candidates for this role should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results-oriented, be able to prioritize and be a team player in a collaborative environment. They will also have exceptional communication and analytical skills, with a high degree of ownership and motivation to successfully manage high impact projects and drive long term success. Responsibilities :
A Day in the Life
Build complex models and analysis to identify trends, patterns and irregularities in key metrics in order to drive business decisions
Consolidate inputs from multiple areas and analyze historical data to better understand Guest spending behavior in all Lines of Business
Perform detailed analyses using financial and statistical modeling techniques to evaluate the impact of new initiatives, measure performance and determine growth opportunities
Translate business challenges and large data sets into actionable insights in order to influence key stakeholders and leadership
Optimize pricing and revenue management decisions in order to grow the business
Report on key performance metrics, such as sales and booking data
Consolidate competitive research and industry benchmarks
Basic Qualifications :
What You Bring to the Role
Demonstrated proficiency in Microsoft Excel
Experience collecting and analyzing data and reporting on the results using Excel or a statistical software package
Ability to effectively translate data points into actionable findings and create compelling presentations
Strong organizational skills and attention to detail
Strong oral/written communication and interpersonal skills
Creative problem solving and analytical skills
Strong sense of responsibility, independence, ownership and pride in delivering quality results, and understanding the business impacts
Interest in pursuing an analytical career path
Business acumen with proven strategic thinking and problem-solving skills
Preferred Qualifications:
Demonstrated experience with SQL, Python, R or other similar coding tools
Experience with Tableau, Microsoft Access or Business Objects
Previous experience in an analytical field, preferably in Hotels/Resorts, Food & Beverage or Travel & Tourism
Disney College Program or Professional Internship Alumni
Required Education :
Junior or higher working towards (or recently graduated with) a degree in Economics, Analytical/Business majors, Industrial Engineering, Mathematics, Marketing, Statistics, Finance or other related quantitative field
GPA of 3.0 or higher
Preferred Education :
Currently pursuing an MBA or Graduate degree
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Aug 20, 2019
Internship
Pricing, Forecasting & Planning Internship, Spring 2020 - Orlando, FL The Revenue Planning organization supports clients across Disney Parks, Experiences & Consumer Products in the core competencies of Pricing Strategy, Yield Management, and Revenue Planning & Forecasting. We Are:
The Pricing Strategy department, responsible for driving strategic revenue objectives for all Walt Disney World Parks & Resorts Lines of Business (Tickets, Resorts, and Food & Beverage and Merchandise). We provide strategic support to optimize demand and grow long-term profitability. Candidates for this role should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results-oriented, be able to prioritize and be a team player in a collaborative environment. They will also have exceptional communication and analytical skills, with a high degree of ownership and motivation to successfully manage high impact projects and drive long term success. Responsibilities :
A Day in the Life
Build complex models and analysis to identify trends, patterns and irregularities in key metrics in order to drive business decisions
Consolidate inputs from multiple areas and analyze historical data to better understand Guest spending behavior in all Lines of Business
Perform detailed analyses using financial and statistical modeling techniques to evaluate the impact of new initiatives, measure performance and determine growth opportunities
Translate business challenges and large data sets into actionable insights in order to influence key stakeholders and leadership
Optimize pricing and revenue management decisions in order to grow the business
Report on key performance metrics, such as sales and booking data
Consolidate competitive research and industry benchmarks
Basic Qualifications :
What You Bring to the Role
Demonstrated proficiency in Microsoft Excel
Experience collecting and analyzing data and reporting on the results using Excel or a statistical software package
Ability to effectively translate data points into actionable findings and create compelling presentations
Strong organizational skills and attention to detail
Strong oral/written communication and interpersonal skills
Creative problem solving and analytical skills
Strong sense of responsibility, independence, ownership and pride in delivering quality results, and understanding the business impacts
Interest in pursuing an analytical career path
Business acumen with proven strategic thinking and problem-solving skills
Preferred Qualifications:
Demonstrated experience with SQL, Python, R or other similar coding tools
Experience with Tableau, Microsoft Access or Business Objects
Previous experience in an analytical field, preferably in Hotels/Resorts, Food & Beverage or Travel & Tourism
Disney College Program or Professional Internship Alumni
Required Education :
Junior or higher working towards (or recently graduated with) a degree in Economics, Analytical/Business majors, Industrial Engineering, Mathematics, Marketing, Statistics, Finance or other related quantitative field
GPA of 3.0 or higher
Preferred Education :
Currently pursuing an MBA or Graduate degree
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Data Analytics: Pricing & Integration Intern, Spring 2020 - Orlando, FL We Are… The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. Responsibilities :
A Day in the Life...
Support the development & implementation of advanced decision & pricing engines for Disney Theatrical Group and Walt Disney Parks & Resorts
Support the technology migration of the advanced decision & pricing engines for Disney Theatrical Group and Walt Disney Parks & Resorts
Leveraging technology, data analytics and statistical modeling to explore opportunities, improve business processes and drive business value
Monitoring project processes and resolving issues along the way
Developing automated analytical solutions
Basic Qualifications :
What You Bring to the Role...
Experience developing, troubleshooting, and scheduling Python code
Strategic problem solving & analytical skills
Knowledge of database structure
Experience collecting & analyzing data and reporting on the results
Meticulous and thorough with close attention to detail
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Ability to prioritize/set deadlines/create a schedule of work
Knowledge of forecasting methods and techniques
Ability to clearly document code and processes so others can troubleshoot in the future
Preferred Qualifications:
2+ years of experience with both Python and SAS
Experience converting SAS code into Python code
Able to work autonomously with little direction or guidance
Ability to explain technical concepts to non-technical audiences
Required Education :
Junior or higher working towards (or recently graduated with) a Bachelor’s degree in an analytical field including Computer Science, Computer Programming, Statistics, Mathematics, Industrial Engineering or other related quantitative field
GPA of 3.0 or higher
Preferred Education :
Working towards (or recently graduated with) a Master’s degree in a related quantitative field
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Aug 20, 2019
Internship
Data Analytics: Pricing & Integration Intern, Spring 2020 - Orlando, FL We Are… The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. Responsibilities :
A Day in the Life...
Support the development & implementation of advanced decision & pricing engines for Disney Theatrical Group and Walt Disney Parks & Resorts
Support the technology migration of the advanced decision & pricing engines for Disney Theatrical Group and Walt Disney Parks & Resorts
Leveraging technology, data analytics and statistical modeling to explore opportunities, improve business processes and drive business value
Monitoring project processes and resolving issues along the way
Developing automated analytical solutions
Basic Qualifications :
What You Bring to the Role...
Experience developing, troubleshooting, and scheduling Python code
Strategic problem solving & analytical skills
Knowledge of database structure
Experience collecting & analyzing data and reporting on the results
Meticulous and thorough with close attention to detail
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Ability to prioritize/set deadlines/create a schedule of work
Knowledge of forecasting methods and techniques
Ability to clearly document code and processes so others can troubleshoot in the future
Preferred Qualifications:
2+ years of experience with both Python and SAS
Experience converting SAS code into Python code
Able to work autonomously with little direction or guidance
Ability to explain technical concepts to non-technical audiences
Required Education :
Junior or higher working towards (or recently graduated with) a Bachelor’s degree in an analytical field including Computer Science, Computer Programming, Statistics, Mathematics, Industrial Engineering or other related quantitative field
GPA of 3.0 or higher
Preferred Education :
Working towards (or recently graduated with) a Master’s degree in a related quantitative field
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Merchandise Business Insights & Analytics Internship, Spring 2020 – Orlando, FL We Are… The Merchandise Experience Planning & Integration team conducts business analysis and clearly articulates recommendations to help drive improvements to the Guest experience and the overall business. Key areas of analytical exploration include customer analysis, decision trees, predictive analysis, simulation analysis, demand transference, product/location sales analysis, and inventory & replenishment management. Responsibilities :
Day in the Life...
Understanding the merchandise line of business and identifying opportunities to leverage analytics to improve processes and drive actionable insight
Defining key business issues to be solved while incorporating business requirements
Supporting the conceptual development of business solutions
Identifying, gathering, and analyzing multi-dimensional data sets utilizing a variety of tools
Designing advanced analytical solutions that will be adopted by clients to drive efficiency and faster decision making
Basic Qualifications :
What You Bring to the Role...
Creative and strategic problem solving skills
Advanced analytical skills, with the ability to leverage multi-dimensional data sets, conduct insightful and relevant analysis, and extract key learnings
Database knowledge and understanding of SQL
Strong proficiency in Microsoft Excel and PowerPoint
Demonstrated experience with Tableau or other data visualization tools
Strong oral and written communication skills
Interest and desire to determine mathematical approaches to solving business problems
Strong sense of responsibility, ownership and pride in delivering quality results, and understanding the business impacts
Preferred Qualifications:
Experience with Python or R
Proven track record in development of reports and dashboard production
General knowledge in Retail
Previous experience in an analytical field, preferably in Retail
Required Education :
Junior or higher working towards (or recently graduated with) a Bachelor’s degree in an analytical field including Statistics, Business Analytics, Economics, Mathematics, Industrial Engineering or other related quantitative field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Aug 20, 2019
Internship
Merchandise Business Insights & Analytics Internship, Spring 2020 – Orlando, FL We Are… The Merchandise Experience Planning & Integration team conducts business analysis and clearly articulates recommendations to help drive improvements to the Guest experience and the overall business. Key areas of analytical exploration include customer analysis, decision trees, predictive analysis, simulation analysis, demand transference, product/location sales analysis, and inventory & replenishment management. Responsibilities :
Day in the Life...
Understanding the merchandise line of business and identifying opportunities to leverage analytics to improve processes and drive actionable insight
Defining key business issues to be solved while incorporating business requirements
Supporting the conceptual development of business solutions
Identifying, gathering, and analyzing multi-dimensional data sets utilizing a variety of tools
Designing advanced analytical solutions that will be adopted by clients to drive efficiency and faster decision making
Basic Qualifications :
What You Bring to the Role...
Creative and strategic problem solving skills
Advanced analytical skills, with the ability to leverage multi-dimensional data sets, conduct insightful and relevant analysis, and extract key learnings
Database knowledge and understanding of SQL
Strong proficiency in Microsoft Excel and PowerPoint
Demonstrated experience with Tableau or other data visualization tools
Strong oral and written communication skills
Interest and desire to determine mathematical approaches to solving business problems
Strong sense of responsibility, ownership and pride in delivering quality results, and understanding the business impacts
Preferred Qualifications:
Experience with Python or R
Proven track record in development of reports and dashboard production
General knowledge in Retail
Previous experience in an analytical field, preferably in Retail
Required Education :
Junior or higher working towards (or recently graduated with) a Bachelor’s degree in an analytical field including Statistics, Business Analytics, Economics, Mathematics, Industrial Engineering or other related quantitative field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Consumer Insight Analytics Internship (DLR), Spring 2020 We Are…
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts. CIMA influences decision making with integrated, objective, and actionable insights.
Within CIMA, the Consumer Insight team drives value by developing a deep understanding of consumers and Guests that is leveraged to identify improvement opportunities and influence key strategies across the business.
Responsibilities :
Day in the Life:
Assisting with qualitative and quantitative consumer research in support of the Disney Parks & Resorts segment
Partnering with leadership to analyze secondary data sources, design research studies, interpret qualitative and quantitative data, create presentations, and share results with internal stakeholders
Basic Qualifications :
What You Bring to the Role:
Strategic problem solving & analytical skills
A curious nature and passion for understanding the ‘what’ & ‘why’
Effectively translate data points into findings
Experience collecting and analyzing data and reporting on the results
Creation of compelling presentations and written communications
Relationship builder, who excels in a collaborative environment
Ability to prioritize competing tasks
Demonstrated proficiency in Microsoft Word, PowerPoint & Excel
Preferred Qualifications:
Previous research experience
Experience with Tableau
Familiarity conducting surveys
Prior participation in the Disney College Program
Required Education :
Current junior, senior or higher working toward (or recently graduated with) an undergraduate degree in Marketing, Economics, Sociology, Psychology, Statistics, Business or other related quantitative field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Housing: Anaheim based interns must provide their own housing.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Aug 20, 2019
Internship
Consumer Insight Analytics Internship (DLR), Spring 2020 We Are…
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts. CIMA influences decision making with integrated, objective, and actionable insights.
Within CIMA, the Consumer Insight team drives value by developing a deep understanding of consumers and Guests that is leveraged to identify improvement opportunities and influence key strategies across the business.
Responsibilities :
Day in the Life:
Assisting with qualitative and quantitative consumer research in support of the Disney Parks & Resorts segment
Partnering with leadership to analyze secondary data sources, design research studies, interpret qualitative and quantitative data, create presentations, and share results with internal stakeholders
Basic Qualifications :
What You Bring to the Role:
Strategic problem solving & analytical skills
A curious nature and passion for understanding the ‘what’ & ‘why’
Effectively translate data points into findings
Experience collecting and analyzing data and reporting on the results
Creation of compelling presentations and written communications
Relationship builder, who excels in a collaborative environment
Ability to prioritize competing tasks
Demonstrated proficiency in Microsoft Word, PowerPoint & Excel
Preferred Qualifications:
Previous research experience
Experience with Tableau
Familiarity conducting surveys
Prior participation in the Disney College Program
Required Education :
Current junior, senior or higher working toward (or recently graduated with) an undergraduate degree in Marketing, Economics, Sociology, Psychology, Statistics, Business or other related quantitative field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Housing: Anaheim based interns must provide their own housing.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
This individual will be responsible for Programmatic campaign management activities such as campaign set-up, documentation creation and maintenance, QA, performance reporting, and billing reconciliation. They will also be responsible for budget pacing review and recommendation of related campaign adjustments to Programmatic Media Manager. The ideal candidate will have previous online ad experience. Prior self-service experience with DSPs and active campaign management is a huge plus.
Responsibilities :
Traffic, QA, and monitor Programmatic media campaigns in the DSPs
Ensure Programmatic campaigns are created and implemented in DSPs according to best practices and to achieve optimal campaign performance
Self-service campaign management within DSPs toward KPIs
Support Programmatic Campaign Manager on campaign management including budget changes, pacing and performance optimization, strategy, and reporting
Handle daily campaign maintenance, including internal questions regarding tracking and status of various campaigns
Assist in the development of partner-facing campaign performance reports
Participate in regular knowledge share sessions to learn new strategies for optimization and enhancement
Basic Qualifications :
1-3 years of digital display experience
Experience in management of digital accounts with a focus on performance
In-depth knowledge of self-service programmatic buying, DSPs, and the wider digital display landscape
Self-service experience using Doubleclick Bid Manager (DBM/DV360), Verizon DSP (Oath/BrightRoll), or other DSP is a huge plus
Good knowledge of the fundamentals of Ad Serving and display technologies
Ability to think creatively, strategically, and identify and resolve problems
Organizational and time management skills
Excellent written and verbal communication skills
Ability to form strong relationships with clients and internal teams
Passion for online advertising technology
Familiarity of how web sites and online ads work
Proficiency in Microsoft Office solutions especially Excel
Analytical thinking and mathematical skills
Excellent communication and writing skills
Required Education :
Four-year college degree or equivalent work experience. Marketing, Mathematics, Statistics, or Finance is a plus (past relevant work experience is prioritized over degree focus)
Aug 17, 2019
Full-time
This individual will be responsible for Programmatic campaign management activities such as campaign set-up, documentation creation and maintenance, QA, performance reporting, and billing reconciliation. They will also be responsible for budget pacing review and recommendation of related campaign adjustments to Programmatic Media Manager. The ideal candidate will have previous online ad experience. Prior self-service experience with DSPs and active campaign management is a huge plus.
Responsibilities :
Traffic, QA, and monitor Programmatic media campaigns in the DSPs
Ensure Programmatic campaigns are created and implemented in DSPs according to best practices and to achieve optimal campaign performance
Self-service campaign management within DSPs toward KPIs
Support Programmatic Campaign Manager on campaign management including budget changes, pacing and performance optimization, strategy, and reporting
Handle daily campaign maintenance, including internal questions regarding tracking and status of various campaigns
Assist in the development of partner-facing campaign performance reports
Participate in regular knowledge share sessions to learn new strategies for optimization and enhancement
Basic Qualifications :
1-3 years of digital display experience
Experience in management of digital accounts with a focus on performance
In-depth knowledge of self-service programmatic buying, DSPs, and the wider digital display landscape
Self-service experience using Doubleclick Bid Manager (DBM/DV360), Verizon DSP (Oath/BrightRoll), or other DSP is a huge plus
Good knowledge of the fundamentals of Ad Serving and display technologies
Ability to think creatively, strategically, and identify and resolve problems
Organizational and time management skills
Excellent written and verbal communication skills
Ability to form strong relationships with clients and internal teams
Passion for online advertising technology
Familiarity of how web sites and online ads work
Proficiency in Microsoft Office solutions especially Excel
Analytical thinking and mathematical skills
Excellent communication and writing skills
Required Education :
Four-year college degree or equivalent work experience. Marketing, Mathematics, Statistics, or Finance is a plus (past relevant work experience is prioritized over degree focus)
The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders.
We Are:
The Decision Science team creates innovative scientific models and data-driven decision support tools that are used by business units across The Walt Disney Company to make better business decisions. From establishing appropriate science methodologies to implementing continuous innovation, the Decision Science team is instrumental in determining the success of our entire global enterprise.
Responsibilities :
Make an impact by building operations research and statistical models for various revenue management and pricing systems. The interns help in this process by:
Modeling and analyzing revenue management, pricing, marketing, and other business analytics applications using various mathematical, statistical, and simulation techniques
Supporting the analysis and validation of forecasting and optimization models
Performing data collection, data cleaning, data validation, and reporting tasks for various business analytics systems and applications
Basic Qualifications :
What You Bring to the Role:
Strategic problem solving & analytical skills
Experience with statistical modeling software (e.g. R, Python, SAS) or experience with mathematical programming software (e.g. CPLEX, Gurobi, Xpress, Google OR, COIN-OR, SAS/OR)
Proficient in at least one of the following programming languages: R, Python, SAS, Java, Julia, C++, Matlab
Strong organizational and time management skills with attention to detail
Aptitude and willingness to learn new science, software applications, and tools
Experience gathering, analyzing, and interpreting data and reporting on the results
Proficiency with Excel, Word and PowerPoint
Preferred Qualifications:
Familiarity with SQL or Tableau
Experience using machine learning algorithms
Proficiency with statistical methods such as linear regression, generalized linear models, and hierarchical/mixed models
A working knowledge of deterministic optimization (e.g., linear programming, integer programming, mixed integer programming), or other optimization (nonlinear programming, dynamic programming, etc.)
Experience and expertise of using mathematical programming software and/or developing algorithms for large scale optimization problems
Proficiency with forecasting methodologies
Proficiency with Bayesian statistics
Proficiency with discrete event simulation
Prior research or industrial experience in revenue management, pricing, and/or supply chain applications
Proficiency with neural networks and/or deep learning
Proficiency with text mining methods, such as natural language processing, sentiment analysis, and topic modeling
Required Education :
Graduate Level student or recently graduated from a Graduate program (within 6 months of graduating) pursuing a Master's Degree or PhD in Statistics, Operations Research, Industrial Engineering, Math, Economics, or related field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available, full-time, 40 hours per week, from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Aug 13, 2019
Full-time
The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders.
We Are:
The Decision Science team creates innovative scientific models and data-driven decision support tools that are used by business units across The Walt Disney Company to make better business decisions. From establishing appropriate science methodologies to implementing continuous innovation, the Decision Science team is instrumental in determining the success of our entire global enterprise.
Responsibilities :
Make an impact by building operations research and statistical models for various revenue management and pricing systems. The interns help in this process by:
Modeling and analyzing revenue management, pricing, marketing, and other business analytics applications using various mathematical, statistical, and simulation techniques
Supporting the analysis and validation of forecasting and optimization models
Performing data collection, data cleaning, data validation, and reporting tasks for various business analytics systems and applications
Basic Qualifications :
What You Bring to the Role:
Strategic problem solving & analytical skills
Experience with statistical modeling software (e.g. R, Python, SAS) or experience with mathematical programming software (e.g. CPLEX, Gurobi, Xpress, Google OR, COIN-OR, SAS/OR)
Proficient in at least one of the following programming languages: R, Python, SAS, Java, Julia, C++, Matlab
Strong organizational and time management skills with attention to detail
Aptitude and willingness to learn new science, software applications, and tools
Experience gathering, analyzing, and interpreting data and reporting on the results
Proficiency with Excel, Word and PowerPoint
Preferred Qualifications:
Familiarity with SQL or Tableau
Experience using machine learning algorithms
Proficiency with statistical methods such as linear regression, generalized linear models, and hierarchical/mixed models
A working knowledge of deterministic optimization (e.g., linear programming, integer programming, mixed integer programming), or other optimization (nonlinear programming, dynamic programming, etc.)
Experience and expertise of using mathematical programming software and/or developing algorithms for large scale optimization problems
Proficiency with forecasting methodologies
Proficiency with Bayesian statistics
Proficiency with discrete event simulation
Prior research or industrial experience in revenue management, pricing, and/or supply chain applications
Proficiency with neural networks and/or deep learning
Proficiency with text mining methods, such as natural language processing, sentiment analysis, and topic modeling
Required Education :
Graduate Level student or recently graduated from a Graduate program (within 6 months of graduating) pursuing a Master's Degree or PhD in Statistics, Operations Research, Industrial Engineering, Math, Economics, or related field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available, full-time, 40 hours per week, from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
A team of high performing problem-solvers, and subject matter experts that solve complex Talent, Human Capital, and HR issues using proven scientific and mathematical techniques and communicate in ways which resonate with clients to support business decisions.
Responsibilities :
Consult with clients across the organization, translating high-level business objectives into analytical solutions that provide clear and actionable insights
Conduct analysis connecting behavioral analytics with labor economics to identify key insights and drivers to employee behavior
Construct complex data sets and measures to be used in analyses that drive business decisions
Develop sustainable statistical algorithms and machine learning processes that support HR business processes, tools, models, or products
Work collaboratively with team members to develop analytical solutions which support cross-functional needs
Develop and deliver model/forecast outputs to be leveraged by key partners, clients, and internal reporting Proactively identify analytical opportunities to solve key business issues or strategies
Synthesize analytical output and findings for storytelling and decision making
You have deep technical knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You are an abstract thinker with the ability to solve complex problems in creative, sustainable ways
You have proven experience dealing in labor economics or behavioral analytics
You have strong critical thinking skills and ask relevant questions to improve processes and build efficiencies
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You are proactive and self-motivated with the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends
You can effectively handle and maintain confidential information
You are adaptable and have high level of comfort with change and ambiguity
Basic Qualifications :
4 years at an analyst level in a data-oriented role dealing in statistics or analytics. Deep knowledge of analytical tools and processes & data infrastructures
Preferred Qualifications:
Decision Science or Workforce Planning.
Required Education :
4 year degree in Organization Psychology, Mathematics, Statistics, Economics or a related field.
Preferred Education :
Advanced Degree (Masters or above) in an Organization Psychology, Mathematics, and Statistics, Economics or a related field.
Aug 09, 2019
Full-time
A team of high performing problem-solvers, and subject matter experts that solve complex Talent, Human Capital, and HR issues using proven scientific and mathematical techniques and communicate in ways which resonate with clients to support business decisions.
Responsibilities :
Consult with clients across the organization, translating high-level business objectives into analytical solutions that provide clear and actionable insights
Conduct analysis connecting behavioral analytics with labor economics to identify key insights and drivers to employee behavior
Construct complex data sets and measures to be used in analyses that drive business decisions
Develop sustainable statistical algorithms and machine learning processes that support HR business processes, tools, models, or products
Work collaboratively with team members to develop analytical solutions which support cross-functional needs
Develop and deliver model/forecast outputs to be leveraged by key partners, clients, and internal reporting Proactively identify analytical opportunities to solve key business issues or strategies
Synthesize analytical output and findings for storytelling and decision making
You have deep technical knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You are an abstract thinker with the ability to solve complex problems in creative, sustainable ways
You have proven experience dealing in labor economics or behavioral analytics
You have strong critical thinking skills and ask relevant questions to improve processes and build efficiencies
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You are proactive and self-motivated with the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends
You can effectively handle and maintain confidential information
You are adaptable and have high level of comfort with change and ambiguity
Basic Qualifications :
4 years at an analyst level in a data-oriented role dealing in statistics or analytics. Deep knowledge of analytical tools and processes & data infrastructures
Preferred Qualifications:
Decision Science or Workforce Planning.
Required Education :
4 year degree in Organization Psychology, Mathematics, Statistics, Economics or a related field.
Preferred Education :
Advanced Degree (Masters or above) in an Organization Psychology, Mathematics, and Statistics, Economics or a related field.
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.
Responsibilities :
The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across TWDC’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices. Primary responsibilities of the group are to:
Enrich enterprise data assets by acquiring, organizing and aggregating customer data from various sources to construct a full and accurate view of a customer’s interactions with the company for use in direct/email marketing, targeted media campaigns and analytics.
Deliver customer data, data analysis support and customer data insights to businesses on as needed basis, including audience selection and segmentation services as well as email marketing campaign services.
Establish global, company-wide standards and business policies for collection, sharing, use and retention of customer information, including standards for cross-business use, communication/targeting relevance and other brand-related controls.
Own and operate enterprise-wide tools and capabilities, including the shared enterprise-wide customer/ marketing data environment and any company-wide customer-facing tools (e.g., customer preference and email permission centers)
Basic Qualifications:
If you’re passionate about helping businesses leverage customer data for marketing and consumer insights and have a soft spot for the brands of the Walt Disney Company, we want to talk to you. The Manager will work with internal CIM campaign management teams as well as external BU marketing team to understand data needs and business requirements related to customer data. The manager will then define, code (using SQL), schedule, run and maintain manual data processing jobs as well as automated data processing jobs that transform critical (raw) source data sets into structured and standardized formats for use by business unit marketing teams and CIM’s internal campaign management team. This includes but is not limited to the creation of franchise and business affinity indicators based on analysis of customer transactions, website/app interactions, account registration and login activity and email campaign responses. The manager will also lead projects to acquire new data, including evaluating the quality, consistency, organization, volume and utility of customer data for use by CIM and other business unit marketing teams. The manager will produce ad hoc reports based on business and leadership needs by constructing analytical queries using SQL providing insights and tracking recent customer transactions, cross-line-of business engagement, and other key performance indicators. This position has 1 direct report (undergraduate associate).
Maintain Franchise Layer (run processing jobs transforming raw interaction data into summary flags), including updating, testing and releasing new SQL code to production to capture new franchise interaction data. Ensure franchise data is updated weekly and available for use by marketing stakeholders. Provide ad hoc analysis and reporting against franchise interaction data.
Oversee execution of scheduled data transfers to Chase Bank on behalf of Disney Rewards Visa Card (DRVC) group. Collaborate with DRVC to define new customer data goals and translate into project plans. Execute technical requirements as needed, including ad hoc analysis and reporting as needed.
Lead data onboarding projects in collaboration with technology partners, including analysis and evaluation of source data as well as documentation of source data taxonomy and data transformation requirements.
Develop and maintain technical documentation of all assigned data processing activities, automated and manual, current and new, including business rules, data sources, data processing requirements and related logic.
In collaboration with leadership, identify opportunities for automation and execute technical requirements.
Total of 5+ years of progressively increasing responsibility in data analysis, business intelligence or data science roles during which both technical and management capability have been clearly demonstrated.
Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments
3 + year experience managing data analysts, BI developers, and/or data scientists.
Intermediate level SQL expertise, experience writing SQL queries against large data sets.
Demonstrated experience with databases, business intelligence tools, reporting, analytical environments
Extensive expertise and knowledge in how data assets are used in marketing, consumer strategy, reporting, analytical functions.
Experience with large scale, multi-terabyte level data solutions supporting direct-to-consumer marketing.
Expertise in understanding business needs and working with non-technical and non-customer data centric marketers
Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives.
Required Education:
4-year bachelor’s degree in computer science/information science/engineering or related Bachelor of Arts degree with heavy focus on analytical and statistical methods.
Preferred Education:
Master's degree in computer science/information science/engineering or related Master of Arts degree with heavy focus on analytical and statistical methods.
Jul 29, 2019
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.
Responsibilities :
The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across TWDC’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices. Primary responsibilities of the group are to:
Enrich enterprise data assets by acquiring, organizing and aggregating customer data from various sources to construct a full and accurate view of a customer’s interactions with the company for use in direct/email marketing, targeted media campaigns and analytics.
Deliver customer data, data analysis support and customer data insights to businesses on as needed basis, including audience selection and segmentation services as well as email marketing campaign services.
Establish global, company-wide standards and business policies for collection, sharing, use and retention of customer information, including standards for cross-business use, communication/targeting relevance and other brand-related controls.
Own and operate enterprise-wide tools and capabilities, including the shared enterprise-wide customer/ marketing data environment and any company-wide customer-facing tools (e.g., customer preference and email permission centers)
Basic Qualifications:
If you’re passionate about helping businesses leverage customer data for marketing and consumer insights and have a soft spot for the brands of the Walt Disney Company, we want to talk to you. The Manager will work with internal CIM campaign management teams as well as external BU marketing team to understand data needs and business requirements related to customer data. The manager will then define, code (using SQL), schedule, run and maintain manual data processing jobs as well as automated data processing jobs that transform critical (raw) source data sets into structured and standardized formats for use by business unit marketing teams and CIM’s internal campaign management team. This includes but is not limited to the creation of franchise and business affinity indicators based on analysis of customer transactions, website/app interactions, account registration and login activity and email campaign responses. The manager will also lead projects to acquire new data, including evaluating the quality, consistency, organization, volume and utility of customer data for use by CIM and other business unit marketing teams. The manager will produce ad hoc reports based on business and leadership needs by constructing analytical queries using SQL providing insights and tracking recent customer transactions, cross-line-of business engagement, and other key performance indicators. This position has 1 direct report (undergraduate associate).
Maintain Franchise Layer (run processing jobs transforming raw interaction data into summary flags), including updating, testing and releasing new SQL code to production to capture new franchise interaction data. Ensure franchise data is updated weekly and available for use by marketing stakeholders. Provide ad hoc analysis and reporting against franchise interaction data.
Oversee execution of scheduled data transfers to Chase Bank on behalf of Disney Rewards Visa Card (DRVC) group. Collaborate with DRVC to define new customer data goals and translate into project plans. Execute technical requirements as needed, including ad hoc analysis and reporting as needed.
Lead data onboarding projects in collaboration with technology partners, including analysis and evaluation of source data as well as documentation of source data taxonomy and data transformation requirements.
Develop and maintain technical documentation of all assigned data processing activities, automated and manual, current and new, including business rules, data sources, data processing requirements and related logic.
In collaboration with leadership, identify opportunities for automation and execute technical requirements.
Total of 5+ years of progressively increasing responsibility in data analysis, business intelligence or data science roles during which both technical and management capability have been clearly demonstrated.
Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments
3 + year experience managing data analysts, BI developers, and/or data scientists.
Intermediate level SQL expertise, experience writing SQL queries against large data sets.
Demonstrated experience with databases, business intelligence tools, reporting, analytical environments
Extensive expertise and knowledge in how data assets are used in marketing, consumer strategy, reporting, analytical functions.
Experience with large scale, multi-terabyte level data solutions supporting direct-to-consumer marketing.
Expertise in understanding business needs and working with non-technical and non-customer data centric marketers
Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives.
Required Education:
4-year bachelor’s degree in computer science/information science/engineering or related Bachelor of Arts degree with heavy focus on analytical and statistical methods.
Preferred Education:
Master's degree in computer science/information science/engineering or related Master of Arts degree with heavy focus on analytical and statistical methods.
Disney Parks is growing its consumer-centric marketing team, who are responsible for audience planning, targeting and media buying. This innovative and growth-oriented business unit at Disney Parks is investing in data-driven talent to drive audience engagement and core business objectives. As a key player on Disney Parks’ Audience Team, the Customer Engagement Manager for Audience Strategy will use Disney Park’s Data Management Platform (DMP) to gather and create audience segments for audience targeting and insights. He or She will partner with the Media Planning team to understand core audiences for our media campaigns, estimate the size and available reach of those audiences within paid platforms, and then group those audiences into segments in the DMP. He or she will help drive data acquisition, audience modeling, and overall audience targeting strategy across multiple platforms. We are looking for puzzle solvers and pattern finders with an ability to use marketing technology on a daily basis. We require big data enthusiasts who love storytelling and can wear many hats when needed. This role spans diverse brand needs and across all the programmatic disciplines in which we are investing.
Responsibilities :
Using state-of-the-art planning and targeting tools and interfaces. This is a hands-on keyboard role where big data is used to discover audiences and to target them across all relevant digital channels
Fulfilling audience creation requests and maintaining an organized and usable database of target audiences
Developing audience models and scores in partnership with media agencies and internal analytics teams
Coordinating regularly with Media Planning to receive requests and provide feedback on targeting performance
Providing input on methodology to create statistically significant and actionable test plans
Interacting with multiple partners and continually collaborating across the marketing organization to promote audience-centric thinking and knowledge sharing
Understanding performance objectives and develop successful strategies to meet them
Keeping daily tabs on industry trends and serve as a subject matter expert by informing wider team
Basic Qualifications :
Data-driven with demonstrable skills with Data Management Platforms (DMP) such as BlueKai, Krux, Coreaudience, or Adobe Audience Manager
Knowledge in buying 1st and 3rd party audience data, or an industry-level understanding of data partnerships in the programmatic space
Hands-on experience with Audience Insights platforms such as Facebook Audience Insights, Twitter Audience Insights, Yahoo Audience Insights, etc., with an ability to provide valuable and actionable strategic recommendations and insights
Experience leveraging Demand Side Platforms (DSP) such as DBM, AOP, Turn, Facebook, ad serving, and/or digital bid management systems
5+ years in digital media planning, activation, or online media management with at least one year in programmatic advertising or precision marketing
Ability to perform data collection and data mining, as well as build state-of-the-art decision science algorithms, tools and systems
High familiarity with consumer media consumption habits and a drive to push audience-centric digital campaigns
Required Education :
Bachelor’s Degree in Business, Communications, Psychology, Statistics or other quantitative field
Jul 29, 2019
Full-time
Disney Parks is growing its consumer-centric marketing team, who are responsible for audience planning, targeting and media buying. This innovative and growth-oriented business unit at Disney Parks is investing in data-driven talent to drive audience engagement and core business objectives. As a key player on Disney Parks’ Audience Team, the Customer Engagement Manager for Audience Strategy will use Disney Park’s Data Management Platform (DMP) to gather and create audience segments for audience targeting and insights. He or She will partner with the Media Planning team to understand core audiences for our media campaigns, estimate the size and available reach of those audiences within paid platforms, and then group those audiences into segments in the DMP. He or she will help drive data acquisition, audience modeling, and overall audience targeting strategy across multiple platforms. We are looking for puzzle solvers and pattern finders with an ability to use marketing technology on a daily basis. We require big data enthusiasts who love storytelling and can wear many hats when needed. This role spans diverse brand needs and across all the programmatic disciplines in which we are investing.
Responsibilities :
Using state-of-the-art planning and targeting tools and interfaces. This is a hands-on keyboard role where big data is used to discover audiences and to target them across all relevant digital channels
Fulfilling audience creation requests and maintaining an organized and usable database of target audiences
Developing audience models and scores in partnership with media agencies and internal analytics teams
Coordinating regularly with Media Planning to receive requests and provide feedback on targeting performance
Providing input on methodology to create statistically significant and actionable test plans
Interacting with multiple partners and continually collaborating across the marketing organization to promote audience-centric thinking and knowledge sharing
Understanding performance objectives and develop successful strategies to meet them
Keeping daily tabs on industry trends and serve as a subject matter expert by informing wider team
Basic Qualifications :
Data-driven with demonstrable skills with Data Management Platforms (DMP) such as BlueKai, Krux, Coreaudience, or Adobe Audience Manager
Knowledge in buying 1st and 3rd party audience data, or an industry-level understanding of data partnerships in the programmatic space
Hands-on experience with Audience Insights platforms such as Facebook Audience Insights, Twitter Audience Insights, Yahoo Audience Insights, etc., with an ability to provide valuable and actionable strategic recommendations and insights
Experience leveraging Demand Side Platforms (DSP) such as DBM, AOP, Turn, Facebook, ad serving, and/or digital bid management systems
5+ years in digital media planning, activation, or online media management with at least one year in programmatic advertising or precision marketing
Ability to perform data collection and data mining, as well as build state-of-the-art decision science algorithms, tools and systems
High familiarity with consumer media consumption habits and a drive to push audience-centric digital campaigns
Required Education :
Bachelor’s Degree in Business, Communications, Psychology, Statistics or other quantitative field
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Data Scientist to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role the Data Scientist will leverage multiple statistical and machine learning methodologies to influence decisions and action planning, with focus on media mix modeling, LTV, and model development for segmentation and targeting customers. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
Reframe business objectives and questions as statistical and analytics tasks that can deliver actionable insights, create accurate predictions, and drive effective optimization
Process, cleanse, validate and integrate data from different sources for reporting, analyses, model building and data visualization
Build predictive models and algorithms to effectively measure and optimize business performance, including media mix and LTV models, and models for customer segmentation and targeting, including churn and propensity models
Collaborate with data engineers to build data pipelines that drive downstream workflow
Analyze large and complex consumer behavior data to identify patterns and uncover opportunities related to how guests are interacting with shopDisney.com, Disney Stores, and retail subscription businesses
Develop and deliver action-oriented, insightful analytic presentations that provide consultative direction to key stakeholders
Monitor trends in data science and alternative sources to ensure the use of best in class tools and techniques
Basic Qualifications :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
4+ years of professional data science/analytical experience
4+ years of professional experience using data-building and statistical programming languages: SAS, Python, R, SQL, etc.
Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multi-variate regression analysis, machine learning, forecasting, Bayesian estimation)
Experience with data exploration utilizing data visualization tools (e.g. Tableau, PowerBI, Pandas, ggplot2, Plotly)
Ability to think strategically, including interpreting market and consumer information
Strong communication skills
Ability to simplify highly complex analyses into terms that are easily accessible and impactful for both written and verbal formats
Demonstrated ability to present data science results and actionable recommendations to business and technical clients
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Experience in media mix modeling, lifetime value analysis, and segmentation strongly preferred
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Experience creating and delivering analytic widgets, such as R-Shiny apps
Knowledge and professional application of machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.) and modern deep learning techniques (PyTorch, Keras/Tensorflow) is a plus
Required Education :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
Preferred Education :
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Jul 29, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Data Scientist to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role the Data Scientist will leverage multiple statistical and machine learning methodologies to influence decisions and action planning, with focus on media mix modeling, LTV, and model development for segmentation and targeting customers. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
Reframe business objectives and questions as statistical and analytics tasks that can deliver actionable insights, create accurate predictions, and drive effective optimization
Process, cleanse, validate and integrate data from different sources for reporting, analyses, model building and data visualization
Build predictive models and algorithms to effectively measure and optimize business performance, including media mix and LTV models, and models for customer segmentation and targeting, including churn and propensity models
Collaborate with data engineers to build data pipelines that drive downstream workflow
Analyze large and complex consumer behavior data to identify patterns and uncover opportunities related to how guests are interacting with shopDisney.com, Disney Stores, and retail subscription businesses
Develop and deliver action-oriented, insightful analytic presentations that provide consultative direction to key stakeholders
Monitor trends in data science and alternative sources to ensure the use of best in class tools and techniques
Basic Qualifications :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
4+ years of professional data science/analytical experience
4+ years of professional experience using data-building and statistical programming languages: SAS, Python, R, SQL, etc.
Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multi-variate regression analysis, machine learning, forecasting, Bayesian estimation)
Experience with data exploration utilizing data visualization tools (e.g. Tableau, PowerBI, Pandas, ggplot2, Plotly)
Ability to think strategically, including interpreting market and consumer information
Strong communication skills
Ability to simplify highly complex analyses into terms that are easily accessible and impactful for both written and verbal formats
Demonstrated ability to present data science results and actionable recommendations to business and technical clients
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Experience in media mix modeling, lifetime value analysis, and segmentation strongly preferred
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Experience creating and delivering analytic widgets, such as R-Shiny apps
Knowledge and professional application of machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.) and modern deep learning techniques (PyTorch, Keras/Tensorflow) is a plus
Required Education :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
Preferred Education :
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video CTV and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications:
Experience in the streaming media industry or other subscription-based service
Python or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Jul 29, 2019
Full-time
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video CTV and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications:
Experience in the streaming media industry or other subscription-based service
Python or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Data Analysts in the Disney+ Content Analytics team are the experimentation and analytics partner for the Disney+ studio content team. They focus on driving content engagement on Disney+ through measurement, analysis, and insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities :
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of content on the platform. When content engagement is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
4+ years of analytical experience.
2+ years work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Degree in an analytical field.
Jul 29, 2019
Full-time
Data Analysts in the Disney+ Content Analytics team are the experimentation and analytics partner for the Disney+ studio content team. They focus on driving content engagement on Disney+ through measurement, analysis, and insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities :
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of content on the platform. When content engagement is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
4+ years of analytical experience.
2+ years work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Degree in an analytical field.
