Business Analyst - BABOK
We are seeking a Business Analyst to join our growing biopharmaceutical company. Reporting to the Business Analyst Supervisor, this position is responsible for working with business stakeholders to define and document business processes and software requirements for technology requests. You will regularly engage in multiple initiatives simultaneously across all levels in the organization. This will include teaming with IT developers, business key users, validation and QA staff.
Additional responsibilities of the BA role include:
Collect, analyze and interpret requirements using interviews, document analysis, business process descriptions, business analysis, and task and workflow analysis toward best practice or BABOK standards.
Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish the underlying true needs from user requests.
Proactively communicate, collaborate, and facilitate knowledge transfer between internal customers and development team to analyze information needs and functional requirements.
Clearly and concisely document the results of analysis and workflows as well as obtain sign-off from the internal customers.
Assist technical writer in the design of test scripts and test scenarios. Coordinate with the business users who test, validate, and evaluate new applications and functions, and determine issues in services and software.
Serve as the conduit between the internal customer community and the software development team through which requirements flow.
Job Requirements
Qualified candidates of this role must offer a Bachelor's degree in information technology or a related field. You must offer excellent communication, technical and project management skills, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements.
Technical skills and experience required of the BA role include:
Minimum of 5 years experience as a Business Analyst
Minimum of 5 years experience creating, editing and revising technical documentation such as process diagrams, flow charts, procedure manuals and training materials
Demonstrated ability to successfully engage in multiple initiatives simultaneously across all levels in an organization
Willingness to drive and challenge business users on their assumptions of how they will successfully execute their plans
Ability to read and interpret moderately complex or technical documents such as laws, regulations, safety rules, operating and maintenance instructions and procedure manuals
Ability to solve practical problems and handle a variety of concrete variables and interpret information furnished in written, oral and/or diagram form
Ability to speak, read, write and understand English
H1B sponsorship not available
Benefits
At Octapharma Plasma we believe in our employees who have the passion and ability to make a difference to the quality of life of their communities. The individual growth and success of each and every employee at Octapharma Plasma is an integral part of our continued growth and success. We offer competitive compensation and a comprehensive benefits package.
Other benefits of the BA role include:
Medical, Dental and Vision Insurance
Life Insurance
401(k) contribution and matching program
Flexible Spending Accounts
Tuition Reimbursement
Team-oriented environment
Jun 19, 2019
Full-time
Business Analyst - BABOK
We are seeking a Business Analyst to join our growing biopharmaceutical company. Reporting to the Business Analyst Supervisor, this position is responsible for working with business stakeholders to define and document business processes and software requirements for technology requests. You will regularly engage in multiple initiatives simultaneously across all levels in the organization. This will include teaming with IT developers, business key users, validation and QA staff.
Additional responsibilities of the BA role include:
Collect, analyze and interpret requirements using interviews, document analysis, business process descriptions, business analysis, and task and workflow analysis toward best practice or BABOK standards.
Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish the underlying true needs from user requests.
Proactively communicate, collaborate, and facilitate knowledge transfer between internal customers and development team to analyze information needs and functional requirements.
Clearly and concisely document the results of analysis and workflows as well as obtain sign-off from the internal customers.
Assist technical writer in the design of test scripts and test scenarios. Coordinate with the business users who test, validate, and evaluate new applications and functions, and determine issues in services and software.
Serve as the conduit between the internal customer community and the software development team through which requirements flow.
Job Requirements
Qualified candidates of this role must offer a Bachelor's degree in information technology or a related field. You must offer excellent communication, technical and project management skills, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements.
Technical skills and experience required of the BA role include:
Minimum of 5 years experience as a Business Analyst
Minimum of 5 years experience creating, editing and revising technical documentation such as process diagrams, flow charts, procedure manuals and training materials
Demonstrated ability to successfully engage in multiple initiatives simultaneously across all levels in an organization
Willingness to drive and challenge business users on their assumptions of how they will successfully execute their plans
Ability to read and interpret moderately complex or technical documents such as laws, regulations, safety rules, operating and maintenance instructions and procedure manuals
Ability to solve practical problems and handle a variety of concrete variables and interpret information furnished in written, oral and/or diagram form
Ability to speak, read, write and understand English
H1B sponsorship not available
Benefits
At Octapharma Plasma we believe in our employees who have the passion and ability to make a difference to the quality of life of their communities. The individual growth and success of each and every employee at Octapharma Plasma is an integral part of our continued growth and success. We offer competitive compensation and a comprehensive benefits package.
Other benefits of the BA role include:
Medical, Dental and Vision Insurance
Life Insurance
401(k) contribution and matching program
Flexible Spending Accounts
Tuition Reimbursement
Team-oriented environment
Centers for Medicare & Medicaid Services
Baltimore, MD, USA
Attention Data Scientists, an Exciting Career Awaits You!
Flexible Schedules, Competitive Salary (with regular annual increases), Teleworking Options, and More!
If you are a data scientist who is ready to start your new career in a dynamic, high-energy, and highly visible organization where you can be results focused and make a positive impact, you should keep reading!
About the Position
Your breadth knowledge of analytic software and tools and your data management background in our fast-paced environment will be an asset. You will have many opportunities to build and discover using your specialized experience in data analysis. You will also have enormous opportunity to implement collaborative development tools and make data supported recommendations.
At CMS data is very important to us and is what helps us to solve especially impactful problems in health care systems and services. A data scientist professional that understand this importance is a must for this critical role. Could this be you?
With a focus on applying advanced analytical techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data, your expertise will help us with interpreting unique and highly specialized data sets.
The data support aspect of your role will encompass communicating findings and complex technical program information through written, oral, and graphical methods to a variety of audiences across multiple levels of responsibility. Your work will involve serving as a liaison providing technical leadership and support to skilled IT infrastructure and security engineers and will keep you engaged and challenged.
If you are a proactive person with a strong passion for making an impact, take pride and ownership in your contribution, have excellent attention to detail and want to be part of an organization that touches the lives of over 90 million Americans, this could be your next long term role.
Your complete application, including all required documents as explained in the full vacancy announce, MUST be received by 11:59pm on 7/1/2019 to be considered. Application period: 06/18/2019 to 07/01/2019
About CMS
Centers for Medicare and Medicaid Services (CMS) is a Federal government agency within the Department of Health and Human Services. We are the largest purchaser of health care in the world responsible for one of our nation’s most critical functions. Medicare, Medicaid, the Children’s Health Insurance Program (CHIP) have help pay the medical bills of millions of older and low-income Americans, providing them with reliable health benefits and the CMS Health Insurance Marketplace provides consumer friendly information about new coverage options for millions of existing and new purchasers of health insurance.
Our mission is to ensure effective, up-to-date health care coverage and to promote quality care for beneficiaries. If this mission resonates with you, then you should ask yourself, “Where Else but CMS?”
Jun 17, 2019
Full-time
Attention Data Scientists, an Exciting Career Awaits You!
Flexible Schedules, Competitive Salary (with regular annual increases), Teleworking Options, and More!
If you are a data scientist who is ready to start your new career in a dynamic, high-energy, and highly visible organization where you can be results focused and make a positive impact, you should keep reading!
About the Position
Your breadth knowledge of analytic software and tools and your data management background in our fast-paced environment will be an asset. You will have many opportunities to build and discover using your specialized experience in data analysis. You will also have enormous opportunity to implement collaborative development tools and make data supported recommendations.
At CMS data is very important to us and is what helps us to solve especially impactful problems in health care systems and services. A data scientist professional that understand this importance is a must for this critical role. Could this be you?
With a focus on applying advanced analytical techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data, your expertise will help us with interpreting unique and highly specialized data sets.
The data support aspect of your role will encompass communicating findings and complex technical program information through written, oral, and graphical methods to a variety of audiences across multiple levels of responsibility. Your work will involve serving as a liaison providing technical leadership and support to skilled IT infrastructure and security engineers and will keep you engaged and challenged.
If you are a proactive person with a strong passion for making an impact, take pride and ownership in your contribution, have excellent attention to detail and want to be part of an organization that touches the lives of over 90 million Americans, this could be your next long term role.
Your complete application, including all required documents as explained in the full vacancy announce, MUST be received by 11:59pm on 7/1/2019 to be considered. Application period: 06/18/2019 to 07/01/2019
About CMS
Centers for Medicare and Medicaid Services (CMS) is a Federal government agency within the Department of Health and Human Services. We are the largest purchaser of health care in the world responsible for one of our nation’s most critical functions. Medicare, Medicaid, the Children’s Health Insurance Program (CHIP) have help pay the medical bills of millions of older and low-income Americans, providing them with reliable health benefits and the CMS Health Insurance Marketplace provides consumer friendly information about new coverage options for millions of existing and new purchasers of health insurance.
Our mission is to ensure effective, up-to-date health care coverage and to promote quality care for beneficiaries. If this mission resonates with you, then you should ask yourself, “Where Else but CMS?”
The Food Marketing Institute (FMI) is a dynamic national trade association, representing the grocery retail industry on the cutting-edge of food and consumer trends.
We are seeking a Manager, SQFI Business Analytics to work with our Safe Quality Food Institute (SQFI). SQFI is a food safety and quality program designed for the food and consumer goods sector, consisting of a certification program for suppliers and the retail and food service market.
Reporting to the Vice President, SQFI Sales, the Manager, SQFI Business Analytics will be responsible for turning data points into actionable insights and recommendations for SQFI to operate as a profitable global third-party certification standard.
The scope of the role includes conducting data mining and analysis to support the growth of SQFI revenues and developing new analytical approaches to evaluate SQFI business practices.
The ideal candidate will have:
at least three to five years of experience in business insights, research, and strategy;
a relevant college degree (preferably in business analytics) or other related field);
a strong knowledge of various business analytics tools;
strong team orientation; excellent organizational skills;
great communication and interpersonal skills; and an extensive knowledge of Microsoft (2010) software including Excel, Word, PowerPoint and Outlook.
This position requires occasional travel to FMI meetings and other events throughout the United States.
We offer an outstanding benefits package including: health, dental, vision, 401(k) plan, flexible spending plan, 10 paid holidays, Summer hours, volunteer opportunities and much more!
Our headquarters is located in Crystal City, Virginia just a few blocks from the Metro.
If you want to work with a fun team in a flexible environment that encourages personal and professional growth, please visit our website to apply.
FMI is an equal opportunity employer.
Jun 13, 2019
Full-time
The Food Marketing Institute (FMI) is a dynamic national trade association, representing the grocery retail industry on the cutting-edge of food and consumer trends.
We are seeking a Manager, SQFI Business Analytics to work with our Safe Quality Food Institute (SQFI). SQFI is a food safety and quality program designed for the food and consumer goods sector, consisting of a certification program for suppliers and the retail and food service market.
Reporting to the Vice President, SQFI Sales, the Manager, SQFI Business Analytics will be responsible for turning data points into actionable insights and recommendations for SQFI to operate as a profitable global third-party certification standard.
The scope of the role includes conducting data mining and analysis to support the growth of SQFI revenues and developing new analytical approaches to evaluate SQFI business practices.
The ideal candidate will have:
at least three to five years of experience in business insights, research, and strategy;
a relevant college degree (preferably in business analytics) or other related field);
a strong knowledge of various business analytics tools;
strong team orientation; excellent organizational skills;
great communication and interpersonal skills; and an extensive knowledge of Microsoft (2010) software including Excel, Word, PowerPoint and Outlook.
This position requires occasional travel to FMI meetings and other events throughout the United States.
We offer an outstanding benefits package including: health, dental, vision, 401(k) plan, flexible spending plan, 10 paid holidays, Summer hours, volunteer opportunities and much more!
Our headquarters is located in Crystal City, Virginia just a few blocks from the Metro.
If you want to work with a fun team in a flexible environment that encourages personal and professional growth, please visit our website to apply.
FMI is an equal opportunity employer.
The Senior Data Analyst must be passionate about digging into data and understanding the stories the data is telling. You will analyze complex data sets, track and measure insights, build critical dashboard and draw key insights.
Major Responsibilities:
Leverage your project management expertise to create dashboards / visualizations (Plan=>Scope=>Design=>Author=>Implement). This process can include requirements gathering, data sufficiency exercise, sketch design, to dashboard authoring.
Work with partners and stakeholders to design and create user accepted dashboards. Bring value add contributions to the process of designed and authoring executive level dashboards / reports.
Design analytics and reporting deliverables, especially around data visualization best practices, and creation
Act as the data expert, leading the way in data discovery, both proactively and by request, to identify key insights and trends to help drive strategic recommendations
Perform data abstraction, cleansing, validation, modeling, interpretation and reporting.
Take data, understand it, process it, extract value from it, and communicate if visually / verbally to team members and key stakeholders throughout the organization.
Work closely with customers and IT teams to turn data into critical information and knowledge that can be used to make sound business decisions.
Deliver ad hoc reporting and analytics within an agreed-upon SLA.
Play an active role in business reviews, especially in reviewing analytical findings and in strategic planning discussions.
Ensure solutions meet the client’s needs, support the extraction of actionable information, and align with client objectives.
Provide consulting support on all data-related solutions (program design, report design, data feed design, data aggregation, etc.).
Qualifications:
Expertise in developing Tableau dashboards using best practices, required
Experience manipulating large data sets leveraging tools such as Hadoop and Data Wrangling and pulling data from data warehouses, marts and lakes.
Proficient knowledge of SQL, required
R, Python, TOAD and SQL workbench, a plus
Expertise in doing Root Cause Analysis and resolving performance bottlenecks
Excellent problem-solving and critical thinking skills required
Strong proficiency in all aspects of design, development and testing and best practices of Enterprise application and/or reporting implementations;
Strong proficiency in the design, development and/or maintenance of reporting systems and databases
Ability to interpret data to help in strategic decision making.
Self-directed who can interpret data to understand trends and derive meaningful business insights for senior executives with little oversight
Self-motivated with ability to work independently while also enjoying collaboration with cross-functional teams and other analysts
Effective communication skills and ability to translate numbers into a story
Professional, positive demeanor
Jun 11, 2019
Full-time
The Senior Data Analyst must be passionate about digging into data and understanding the stories the data is telling. You will analyze complex data sets, track and measure insights, build critical dashboard and draw key insights.
Major Responsibilities:
Leverage your project management expertise to create dashboards / visualizations (Plan=>Scope=>Design=>Author=>Implement). This process can include requirements gathering, data sufficiency exercise, sketch design, to dashboard authoring.
Work with partners and stakeholders to design and create user accepted dashboards. Bring value add contributions to the process of designed and authoring executive level dashboards / reports.
Design analytics and reporting deliverables, especially around data visualization best practices, and creation
Act as the data expert, leading the way in data discovery, both proactively and by request, to identify key insights and trends to help drive strategic recommendations
Perform data abstraction, cleansing, validation, modeling, interpretation and reporting.
Take data, understand it, process it, extract value from it, and communicate if visually / verbally to team members and key stakeholders throughout the organization.
Work closely with customers and IT teams to turn data into critical information and knowledge that can be used to make sound business decisions.
Deliver ad hoc reporting and analytics within an agreed-upon SLA.
Play an active role in business reviews, especially in reviewing analytical findings and in strategic planning discussions.
Ensure solutions meet the client’s needs, support the extraction of actionable information, and align with client objectives.
Provide consulting support on all data-related solutions (program design, report design, data feed design, data aggregation, etc.).
Qualifications:
Expertise in developing Tableau dashboards using best practices, required
Experience manipulating large data sets leveraging tools such as Hadoop and Data Wrangling and pulling data from data warehouses, marts and lakes.
Proficient knowledge of SQL, required
R, Python, TOAD and SQL workbench, a plus
Expertise in doing Root Cause Analysis and resolving performance bottlenecks
Excellent problem-solving and critical thinking skills required
Strong proficiency in all aspects of design, development and testing and best practices of Enterprise application and/or reporting implementations;
Strong proficiency in the design, development and/or maintenance of reporting systems and databases
Ability to interpret data to help in strategic decision making.
Self-directed who can interpret data to understand trends and derive meaningful business insights for senior executives with little oversight
Self-motivated with ability to work independently while also enjoying collaboration with cross-functional teams and other analysts
Effective communication skills and ability to translate numbers into a story
Professional, positive demeanor
Colgate University is committed to recruiting and retaining a talented diverse workforce and recognizes diversity is integral to the University's achievement of excellence, as it enhances the ability of the University to accomplish its academic mission and to foster a respectful, equitable work environment.
The University's Equal Opportunity (EEO)/Affirmative Action (AA) function affirms and promotes our commitment to equal opportunity and affirmative action and offers an exciting opportunity for an EEO/AA Data Analyst. Reporting to the Executive Director for EEO/AA, and Equity and Inclusion, this position will enhance the university's data management and data systems necessary for the University's EEO/AA federal regulatory and legal compliance.
This role will focus on data analysis related to equal employment opportunity, affirmative action, equity, and inclusion. It is accountable for:
organizing and automating procedures for ongoing data management
creating systems to analyze and reconcile workforce and personnel transaction data (either automated or manual), and where possible refining employment-related data sets
aggregating, analyzing, and compiling information relevant to EEO/AA and other diversity, equity, and inclusion initiatives.
assisting with the development and production of federally mandated EEO/AA related reports, such as the Vets2412 and the utilization and selection data of individuals with disabilities and protected veterans.
Creating detailed documentation of complex processes.
Professional Experience/Qualifications:
Bachelor's degree in a relevant area, or three years of relevant work experience, or a combination of education and relevant work experience.
Must be capable of working collegially with a diverse group of students, faculty, staff, and visitors on a daily basis.
Must demonstrate multicultural competence, active listening, critical thinking, and interpersonal skills.
Familiarity, or ability to quickly learn, functions of spreadsheets (e.g., Excel, Google Sheets).
Preferred Qualifications:
Knowledge of data concepts and automated production of reports.
Willingness to work with automated/digital and non-automated/digital data sets.
EEO/Statement:
It is the policy of Colgate University not to discriminate against any employee or applicant for employment on the basis of their race, color, creed, religion, age, sex, pregnancy, national origin, marital status, disability, protected Veterans status, sexual orientation, gender identity or expression, genetic information, being or having been victims of domestic violence or stalking, familial status, or any other categories covered by law. Colgate is an Equal Opportunity/Affirmative Action employer. Candidates from historically underrepresented groups, women, persons with disabilities, and protected veterans are encouraged to apply.
Jun 11, 2019
Full-time
Colgate University is committed to recruiting and retaining a talented diverse workforce and recognizes diversity is integral to the University's achievement of excellence, as it enhances the ability of the University to accomplish its academic mission and to foster a respectful, equitable work environment.
The University's Equal Opportunity (EEO)/Affirmative Action (AA) function affirms and promotes our commitment to equal opportunity and affirmative action and offers an exciting opportunity for an EEO/AA Data Analyst. Reporting to the Executive Director for EEO/AA, and Equity and Inclusion, this position will enhance the university's data management and data systems necessary for the University's EEO/AA federal regulatory and legal compliance.
This role will focus on data analysis related to equal employment opportunity, affirmative action, equity, and inclusion. It is accountable for:
organizing and automating procedures for ongoing data management
creating systems to analyze and reconcile workforce and personnel transaction data (either automated or manual), and where possible refining employment-related data sets
aggregating, analyzing, and compiling information relevant to EEO/AA and other diversity, equity, and inclusion initiatives.
assisting with the development and production of federally mandated EEO/AA related reports, such as the Vets2412 and the utilization and selection data of individuals with disabilities and protected veterans.
Creating detailed documentation of complex processes.
Professional Experience/Qualifications:
Bachelor's degree in a relevant area, or three years of relevant work experience, or a combination of education and relevant work experience.
Must be capable of working collegially with a diverse group of students, faculty, staff, and visitors on a daily basis.
Must demonstrate multicultural competence, active listening, critical thinking, and interpersonal skills.
Familiarity, or ability to quickly learn, functions of spreadsheets (e.g., Excel, Google Sheets).
Preferred Qualifications:
Knowledge of data concepts and automated production of reports.
Willingness to work with automated/digital and non-automated/digital data sets.
EEO/Statement:
It is the policy of Colgate University not to discriminate against any employee or applicant for employment on the basis of their race, color, creed, religion, age, sex, pregnancy, national origin, marital status, disability, protected Veterans status, sexual orientation, gender identity or expression, genetic information, being or having been victims of domestic violence or stalking, familial status, or any other categories covered by law. Colgate is an Equal Opportunity/Affirmative Action employer. Candidates from historically underrepresented groups, women, persons with disabilities, and protected veterans are encouraged to apply.
The Data and Reporting Analyst II – IT Services will be responsible for providing analytical and reporting support to the IT organization. Additional responsibilities will include making a productive contribution to key business initiatives and audits requests. This position requires moderate coordination with other departments and business partners in order to provide support.
Job Duties
Design and build queries, reports, and dashboards using various data visualization tools including, but not limited to, Power BI and/or Cognos Analytics, MS Excel, and ServiceNow's Performance Analytics
Identify, define, and produce accurate and meaningful metrics in an effort to deliver high quality, actionable, efficient, and interactive reporting to drive business decisions
Produce analytic reports, which extract meaningful insights for leadership to better understand and improve business performance
Produce IT executive, operational, performance, and financial reporting
Evaluate current reporting processes and make recommendations for improvements and efficiencies
Maintain thorough understanding of data and information resources
With general supervision, work in a collaborative and constructive manner with internal stakeholders and various business units to complete tasks with time sensitive deadlines
Accountable for data validation of all reports/analysis
Assist in developing and maintaining process documentation
Provide and seek training and mentoring from peers for cross-functional growth, learning and career development
Develop and maintain productive working relationship with IT and other stakeholders
Take raw data-sets and transfer them into Executive presentations.
Knowledge
Skilled in data analytics/data presentation
Deep understanding of database technology and design concepts
Intermediate computer skills, including, but not limited to, MS Excel, MS PowerPoint, Cognos Analytics, ServiceNow, and SQL
Knowledge of general business practices and concepts, as it relates to IT and the financial industry
Working knowledge of ITIL practices
Skills
Ability to understand GM Financial’s business; apply knowledge and critical thinking skills in day-to-day problems and solutions
Strong analytical skills and ability to draw conclusions based on data
Must be able use appropriate analysis, judgment, logic, and communication methods when solving problems and making decisions
Detail oriented, with a structured approach to planning and organization
Capable of working both independently and as a contributing team member, to meet team and department goals
Excellent verbal and written communication skills
Possesses the skill to display the utmost level of professionalism, tact, and discretion
Ability to relate well with others, build relationships and constructively interact with a variety of people and situations
Must effectively present concepts and ideas
Must take initiative to explore best practices, keep up-to-date with technology changes & training related to reporting and analytics
Ability to make decisions with guidance from management
At all times, maintain confidentiality and protect the privacy of information
Additional Knowledge and Skills
Perform special projects and other related duties as assigned/required
Mentor entry-level analysts
Education
Bachelor’s Degree in Business, Finance, Accounting, or Information Systems required or equivalent work experience and/or advanced certifications preferred
Experience
2-3 years of experience in a similar role required
2-4 years of experience with relational databases and BI tools required
2-4 years experience developing ServiceNow reporting preferred
2-4 years developing analytic reporting required
Jun 04, 2019
Full-time
The Data and Reporting Analyst II – IT Services will be responsible for providing analytical and reporting support to the IT organization. Additional responsibilities will include making a productive contribution to key business initiatives and audits requests. This position requires moderate coordination with other departments and business partners in order to provide support.
Job Duties
Design and build queries, reports, and dashboards using various data visualization tools including, but not limited to, Power BI and/or Cognos Analytics, MS Excel, and ServiceNow's Performance Analytics
Identify, define, and produce accurate and meaningful metrics in an effort to deliver high quality, actionable, efficient, and interactive reporting to drive business decisions
Produce analytic reports, which extract meaningful insights for leadership to better understand and improve business performance
Produce IT executive, operational, performance, and financial reporting
Evaluate current reporting processes and make recommendations for improvements and efficiencies
Maintain thorough understanding of data and information resources
With general supervision, work in a collaborative and constructive manner with internal stakeholders and various business units to complete tasks with time sensitive deadlines
Accountable for data validation of all reports/analysis
Assist in developing and maintaining process documentation
Provide and seek training and mentoring from peers for cross-functional growth, learning and career development
Develop and maintain productive working relationship with IT and other stakeholders
Take raw data-sets and transfer them into Executive presentations.
Knowledge
Skilled in data analytics/data presentation
Deep understanding of database technology and design concepts
Intermediate computer skills, including, but not limited to, MS Excel, MS PowerPoint, Cognos Analytics, ServiceNow, and SQL
Knowledge of general business practices and concepts, as it relates to IT and the financial industry
Working knowledge of ITIL practices
Skills
Ability to understand GM Financial’s business; apply knowledge and critical thinking skills in day-to-day problems and solutions
Strong analytical skills and ability to draw conclusions based on data
Must be able use appropriate analysis, judgment, logic, and communication methods when solving problems and making decisions
Detail oriented, with a structured approach to planning and organization
Capable of working both independently and as a contributing team member, to meet team and department goals
Excellent verbal and written communication skills
Possesses the skill to display the utmost level of professionalism, tact, and discretion
Ability to relate well with others, build relationships and constructively interact with a variety of people and situations
Must effectively present concepts and ideas
Must take initiative to explore best practices, keep up-to-date with technology changes & training related to reporting and analytics
Ability to make decisions with guidance from management
At all times, maintain confidentiality and protect the privacy of information
Additional Knowledge and Skills
Perform special projects and other related duties as assigned/required
Mentor entry-level analysts
Education
Bachelor’s Degree in Business, Finance, Accounting, or Information Systems required or equivalent work experience and/or advanced certifications preferred
Experience
2-3 years of experience in a similar role required
2-4 years of experience with relational databases and BI tools required
2-4 years experience developing ServiceNow reporting preferred
2-4 years developing analytic reporting required
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientist team summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We are looking for a Machine Learning Engineer that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable)
Interest in helping other data scientists improve code quality in addition to conducting independent analyses
Experience optimizing models for memory and speed
Knowledge of machine learning and statistics or a strong desire to learn
2+ years of professional experience as a data scientist or software engineer
May 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientist team summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We are looking for a Machine Learning Engineer that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable)
Interest in helping other data scientists improve code quality in addition to conducting independent analyses
Experience optimizing models for memory and speed
Knowledge of machine learning and statistics or a strong desire to learn
2+ years of professional experience as a data scientist or software engineer
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
May 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Requirements:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
May 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Requirements:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
As a Head of Engineering, you lead a team of 20+ data & BI-engineers. You will implement best practice processes to create an agile, fast and efficiently working team. You will provide technical direction and ongoing leadership for the department which builds all planning and reporting products within Category Management.
WHERE YOUR EXPERTISE IS NEEDED
Impact. You drive team mastery in world-class engineering and development techniques to deliver fast, stable and scalable production system and AI models. You mentor your Engineering Managers to help their teams make the right decisions fast, but you also don’t mind rolling up your sleeves to provide hands-on technical guidance
Vision. You co-own the product vision and roadmap. You are responsible for knowing what it takes to achieve our vision, for setting ambitious but attainable goals, for ensuring that your teams’ estimates are reliable, and for developing the architecture vision and technology roadmap to drive Zalando’s core business.
Collaboration. You facilitate collaboration, communication and decision-making between different data engineering teams and stakeholders. You partner with Senior Product leaders, other Engineering and Architecture leaders to build the best possible solutions for Zalando by following the agile approach.
Growth. You attract, assemble and retain the right engineering talent while cultivating a culture of ownership, mastery, innovation and purpose.
Development. You drive continuous improvement and develop your Engineering Managers to become bar raisers and future Leaders within Zalando.
WHAT WE ARE LOOKING FOR
Leadership. You bring extensive experience in people management and agile development environment. (coaching, team-building and conflict resolution. )
Experience. In designing, coding and operating large-scale data-heavy business processes implementations and in solving data science and data integration challenges, preferable in an e-commerce environment. You possess a sharp analytical mind and proven ability to understand and analyze complex processes, structures and problems supported by a strong methodical approach.
Technologies. Hands-on experience with at least one programming language like Java, Scala or Python and interest in the newest developments in data engineering technologies. You have already built large scale platforms using microservices, machine learning, data technologies such as Spark, Presto, Hadoop or Kafka running on AWS in container solutions like docker.
You are familiar with RDBMS like Oracle, Exasol or MS SQL, reporting systems such as MicroStrategy or Tableau.
Execution. In delivering great products on-time and within budget with an attention to detail, ability to look at solutions in creative and unconventional ways; recognise opportunities to innovate and engage stakeholders in vision and strategy.
Education. In holding BS / MS in Computer Science, a Data Science field or a related discipline
YOU ARE OFFERED
Culture. A culture of trust, empowerment and feedback; 100+ internal guilds; tech talks; product demos; coder dojos.
Perks. Competitive salary; great shopping discount on a wide range of products on zalando.com; discounts from external partners; public transport discounts; relocation assistance for internationals; municipality services*; flexible working times; family service and parent & child rooms*; additional holidays & volunteering time off; diverse sports and health offerings*. (*Depending on location)
Development. Extensive onboarding, personal branding support focused on leadership, opportunity to attend and speak at conferences.
Peers. International, accomplished experts and self-organized, autonomous teams.
Want to join us? Then go ahead and apply!!
Start the conversation. Tell us what the next step in your career could be.
Apr 01, 2019
Full-time
As a Head of Engineering, you lead a team of 20+ data & BI-engineers. You will implement best practice processes to create an agile, fast and efficiently working team. You will provide technical direction and ongoing leadership for the department which builds all planning and reporting products within Category Management.
WHERE YOUR EXPERTISE IS NEEDED
Impact. You drive team mastery in world-class engineering and development techniques to deliver fast, stable and scalable production system and AI models. You mentor your Engineering Managers to help their teams make the right decisions fast, but you also don’t mind rolling up your sleeves to provide hands-on technical guidance
Vision. You co-own the product vision and roadmap. You are responsible for knowing what it takes to achieve our vision, for setting ambitious but attainable goals, for ensuring that your teams’ estimates are reliable, and for developing the architecture vision and technology roadmap to drive Zalando’s core business.
Collaboration. You facilitate collaboration, communication and decision-making between different data engineering teams and stakeholders. You partner with Senior Product leaders, other Engineering and Architecture leaders to build the best possible solutions for Zalando by following the agile approach.
Growth. You attract, assemble and retain the right engineering talent while cultivating a culture of ownership, mastery, innovation and purpose.
Development. You drive continuous improvement and develop your Engineering Managers to become bar raisers and future Leaders within Zalando.
WHAT WE ARE LOOKING FOR
Leadership. You bring extensive experience in people management and agile development environment. (coaching, team-building and conflict resolution. )
Experience. In designing, coding and operating large-scale data-heavy business processes implementations and in solving data science and data integration challenges, preferable in an e-commerce environment. You possess a sharp analytical mind and proven ability to understand and analyze complex processes, structures and problems supported by a strong methodical approach.
Technologies. Hands-on experience with at least one programming language like Java, Scala or Python and interest in the newest developments in data engineering technologies. You have already built large scale platforms using microservices, machine learning, data technologies such as Spark, Presto, Hadoop or Kafka running on AWS in container solutions like docker.
You are familiar with RDBMS like Oracle, Exasol or MS SQL, reporting systems such as MicroStrategy or Tableau.
Execution. In delivering great products on-time and within budget with an attention to detail, ability to look at solutions in creative and unconventional ways; recognise opportunities to innovate and engage stakeholders in vision and strategy.
Education. In holding BS / MS in Computer Science, a Data Science field or a related discipline
YOU ARE OFFERED
Culture. A culture of trust, empowerment and feedback; 100+ internal guilds; tech talks; product demos; coder dojos.
Perks. Competitive salary; great shopping discount on a wide range of products on zalando.com; discounts from external partners; public transport discounts; relocation assistance for internationals; municipality services*; flexible working times; family service and parent & child rooms*; additional holidays & volunteering time off; diverse sports and health offerings*. (*Depending on location)
Development. Extensive onboarding, personal branding support focused on leadership, opportunity to attend and speak at conferences.
Peers. International, accomplished experts and self-organized, autonomous teams.
Want to join us? Then go ahead and apply!!
Start the conversation. Tell us what the next step in your career could be.
“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 part of Walt Disney Attractions Technology (WDAT) 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. As the Senior Manager in the Information Advantage (IA) organization, you will be working in latest big data, cloud and AI/ML technologies and responsible for leading the delivery and execution of multiple Data Analytics and Machine Learning projects across business functions. This role will oversee the end to end program delivery, technical success of the projects and develop a repeatable delivery framework across various initiatives.
Responsibilities:
Responsible for delivering large scale projects on time, budget and high quality.
Leading large programs from ideation, solution, estimation, implementation and sustainment.
Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently
Ability to facilitate business, technical and management discussion with large diverse groups and provide leadership support.
Ability to develop integrated release planning for large programs across multiple teams and instill agile and development methodology processes. Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently
Responsible for executive and management reporting on status, accomplishments and on time escalation for issue resolution.
Building and leading multiple development and delivery teams consisting of Product Managers, Data Engineers, Software Developers, Data Scientists and Project Managers. These teams will be a combination of cast members and contractors (onshore and offshore).
Responsible for technical analysis, effort estimation, product and system design, evaluating architectural fit and compliance, resource schedules, delivery milestones, and overall product quality.
Manage buget effectively working closely with finance controllership and able to build forecast and minimizing actual variance.
Directly oversee, mentor, and develop the technical staff and supervise the technical delivery of these engineers.
Build best practices used in day-to-day operations and working with business units to plan, design, and implement large-scale projects
Manage a variety of diverse - and sometimes conflicting – requests, priorities, and activities. Candidates will need management and communication skills to interact with people at all levels across the Walt Disney Company.
Develop and manage effective working relationships with other departments, groups and staff
Enforce and grow a culture focused on quality
Basic Qualifications:
15+ years of experience in technology especially in data management space including delivering atleast 5+ multi-million dollar data management delivery projects
5+ years of experience in delivering technology initiatives involving big data, cloud and data science capabilities.
Experience and understanding of modern data technologies and patterns especially Hadoop, Python, Spark, cloud native data management process, NoSQL databases, docker containers, etc
Experience working cloud platforms such as AWS, Google Cloud, Azure
Experience with ML frameworks and understanding of algorithms (regression, classification, etc) is a big plus
Ability to come up with solutions to loosely defined business problems by leveraging scalable architecture patterns
Strong systems integration architecture skills and a high degree of technical expertise, ranging across a number of technologies with a proven track record of turning new Technologies into business solutions
Capability to educate the organization both from technical and the business perspectives on new approaches that will drive adoption of the Data Management, Cloud and ML Framework
Experience in leading discovery processes with stakeholders to identify the business requirements and the expected outcome
Comfortable with both technical and business responsibilities, you will be working with engineers, data scientists and business masterminds to build products and solve complex problems
Passionate about data, technology, and challenging the status quo
Proven experience providing technical mentorship to team members
Comfortable working in a team environment using agile methodologies
Strong communication, interpersonal skills and fortitude to get stuff done
Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research
Experience in a large media or technology company and working with revenue management, digital, customer engagement initiatives is a big plus
Success at delivering large scale technology delivery projects on-time and on-budget.
A comfort level with complex, matrixed organizations containing a certain amount of ambiguity
Preferred Qualifications:
Master’s degree in computer science or related field/work experience
Jun 20, 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 part of Walt Disney Attractions Technology (WDAT) 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. As the Senior Manager in the Information Advantage (IA) organization, you will be working in latest big data, cloud and AI/ML technologies and responsible for leading the delivery and execution of multiple Data Analytics and Machine Learning projects across business functions. This role will oversee the end to end program delivery, technical success of the projects and develop a repeatable delivery framework across various initiatives.
Responsibilities:
Responsible for delivering large scale projects on time, budget and high quality.
Leading large programs from ideation, solution, estimation, implementation and sustainment.
Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently
Ability to facilitate business, technical and management discussion with large diverse groups and provide leadership support.
Ability to develop integrated release planning for large programs across multiple teams and instill agile and development methodology processes. Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently
Responsible for executive and management reporting on status, accomplishments and on time escalation for issue resolution.
Building and leading multiple development and delivery teams consisting of Product Managers, Data Engineers, Software Developers, Data Scientists and Project Managers. These teams will be a combination of cast members and contractors (onshore and offshore).
Responsible for technical analysis, effort estimation, product and system design, evaluating architectural fit and compliance, resource schedules, delivery milestones, and overall product quality.
Manage buget effectively working closely with finance controllership and able to build forecast and minimizing actual variance.
Directly oversee, mentor, and develop the technical staff and supervise the technical delivery of these engineers.
Build best practices used in day-to-day operations and working with business units to plan, design, and implement large-scale projects
Manage a variety of diverse - and sometimes conflicting – requests, priorities, and activities. Candidates will need management and communication skills to interact with people at all levels across the Walt Disney Company.
Develop and manage effective working relationships with other departments, groups and staff
Enforce and grow a culture focused on quality
Basic Qualifications:
15+ years of experience in technology especially in data management space including delivering atleast 5+ multi-million dollar data management delivery projects
5+ years of experience in delivering technology initiatives involving big data, cloud and data science capabilities.
Experience and understanding of modern data technologies and patterns especially Hadoop, Python, Spark, cloud native data management process, NoSQL databases, docker containers, etc
Experience working cloud platforms such as AWS, Google Cloud, Azure
Experience with ML frameworks and understanding of algorithms (regression, classification, etc) is a big plus
Ability to come up with solutions to loosely defined business problems by leveraging scalable architecture patterns
Strong systems integration architecture skills and a high degree of technical expertise, ranging across a number of technologies with a proven track record of turning new Technologies into business solutions
Capability to educate the organization both from technical and the business perspectives on new approaches that will drive adoption of the Data Management, Cloud and ML Framework
Experience in leading discovery processes with stakeholders to identify the business requirements and the expected outcome
Comfortable with both technical and business responsibilities, you will be working with engineers, data scientists and business masterminds to build products and solve complex problems
Passionate about data, technology, and challenging the status quo
Proven experience providing technical mentorship to team members
Comfortable working in a team environment using agile methodologies
Strong communication, interpersonal skills and fortitude to get stuff done
Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research
Experience in a large media or technology company and working with revenue management, digital, customer engagement initiatives is a big plus
Success at delivering large scale technology delivery projects on-time and on-budget.
A comfort level with complex, matrixed organizations containing a certain amount of ambiguity
Preferred Qualifications:
Master’s degree in computer science or related field/work experience
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 Data Analyst with HR Data Operations where your natural passion for working with data and partnering with others who share that passion for data will help to ensure the company is enabled to make smart business decisions with the best possible human resources data. In this role, you will be able to blaze new paths in this data rich environment through managing the integrity, efficiency, and availability of data. 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 creative solutions. 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 simple data documentation to implementation of new policy.
Responsibilities:
A Day in the Life
Perform data profiling and database structure research in order to understand relevant data elements along with their definitions and use.
Document and maintain data standards, partnering with functional and business data owners to map existing HR data structures, usage, and common definitions
Partner within and across People Insights as well as Enterprise Business Systems to translate functional requirements in to data needs for development
Partner with data developers to implement and validate data infrastructure enhancements
Provide consultative support for HR clients, advising on policies, standards, and guidelines
Basic Qualifications:
Your Story
You are proficient in SQL with a thorough understanding of data and systems' infrastructures
You are a solutions-oriented critical thinker
You have deep technical knowledge and experience in data management
You demonstrate the ability to translate business issues and requirements into actionable plans, and to deliver against those plans
You are passionate about the benefits of accurate and actionable data, you drive consistency and enjoy partnering with others to accomplish the task
You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You can effectively handle and maintain confidential information
Jun 20, 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 Data Analyst with HR Data Operations where your natural passion for working with data and partnering with others who share that passion for data will help to ensure the company is enabled to make smart business decisions with the best possible human resources data. In this role, you will be able to blaze new paths in this data rich environment through managing the integrity, efficiency, and availability of data. 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 creative solutions. 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 simple data documentation to implementation of new policy.
Responsibilities:
A Day in the Life
Perform data profiling and database structure research in order to understand relevant data elements along with their definitions and use.
Document and maintain data standards, partnering with functional and business data owners to map existing HR data structures, usage, and common definitions
Partner within and across People Insights as well as Enterprise Business Systems to translate functional requirements in to data needs for development
Partner with data developers to implement and validate data infrastructure enhancements
Provide consultative support for HR clients, advising on policies, standards, and guidelines
Basic Qualifications:
Your Story
You are proficient in SQL with a thorough understanding of data and systems' infrastructures
You are a solutions-oriented critical thinker
You have deep technical knowledge and experience in data management
You demonstrate the ability to translate business issues and requirements into actionable plans, and to deliver against those plans
You are passionate about the benefits of accurate and actionable data, you drive consistency and enjoy partnering with others to accomplish the task
You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You can effectively handle and maintain confidential information
The Direct-to-Consumer and International (DTCI) Data Platform group is a team focused on utilizing cutting edge technology to bring the power of data to DTCI and provide solid guidance in the decision-making process across the organization. We focus on using data that is collected from DTCI video streaming platforms to improve experiences for our guests through personalization and analytics-based decision-making. The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must.
Responsibilities:
Master’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.)
Bachelor’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.) with at least 3 years of professional work experience as a data scientist will be considered
Deep knowledge of statistical principles and the underlying data assumptions on which they rely
Hands-on experience building at least 2 of the following statistical models/techniques: recommendation systems, reinforcement learning, neural networks, deep learning, optimization and simulation, churn models, logistic/linear regression, forecasting, experimental design, clustering and segmentation
Ability to program in Python, R, or other statistical programming language(s)
Familiarity with databases and data retrieval, including SQL
A passion for data, entertainment, and technology
Preferred Qualifications:
Previous experience in entertainment
Knowledge of the video streaming industry
Experience working with real-time streaming data
Previous experience or internships in a data science role
Hands-on experience with AWS or other similar cloud services
Demonstrated delivery of machine learning techniques in real-time applications
The ability to effectively communicate technical ideas to both technical and non-technical audiences
Jun 20, 2019
Full-time
The Direct-to-Consumer and International (DTCI) Data Platform group is a team focused on utilizing cutting edge technology to bring the power of data to DTCI and provide solid guidance in the decision-making process across the organization. We focus on using data that is collected from DTCI video streaming platforms to improve experiences for our guests through personalization and analytics-based decision-making. The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must.
Responsibilities:
Master’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.)
Bachelor’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.) with at least 3 years of professional work experience as a data scientist will be considered
Deep knowledge of statistical principles and the underlying data assumptions on which they rely
Hands-on experience building at least 2 of the following statistical models/techniques: recommendation systems, reinforcement learning, neural networks, deep learning, optimization and simulation, churn models, logistic/linear regression, forecasting, experimental design, clustering and segmentation
Ability to program in Python, R, or other statistical programming language(s)
Familiarity with databases and data retrieval, including SQL
A passion for data, entertainment, and technology
Preferred Qualifications:
Previous experience in entertainment
Knowledge of the video streaming industry
Experience working with real-time streaming data
Previous experience or internships in a data science role
Hands-on experience with AWS or other similar cloud services
Demonstrated delivery of machine learning techniques in real-time applications
The ability to effectively communicate technical ideas to both technical and non-technical audiences
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. 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 The Walt Disney Company’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 identifying and executing data acquisition opportunities and strategies, including those executed internally and/or with third parties
Deliver customer data analytics / decision science subject matter expertise and services to TWDC businesses
Establish global, company-wide standards and business policies for collection, sharing and use of customer information
Own and operate enterprise-wide tools and capabilities, including the enterprise-wide customer data marketing and analytics environment and any company-wide customer-facing tools (e.g., customer preference centers, account management tools).
Within Customer Information Management, the Campaign Services Team strives to provide a level of expertise and support to The Walt Disney Company when it comes to utilization of data for marketing use. By providing this support, it allows BUs to focus on their core marketing principles, while the Campaign Services team helps execute their objectives.
Responsibilities:
Provide guidance and leadership to various Disney business units in all aspects of CRM, including deployment strategy, audience selection, creative design and reporting.
Assist with the daily operations and deployment of CRM email campaigns through Email Service Provider
Design and code email creative through the use of HTML, Adobe Dreamweaver and Photoshop
Assist with gathering key metrics for to fulfill reporting requirements for CRM campaigns
Meet with business unit representatives and provide insights/analytics in regards to campaign performance
Manage audience selection and CRM best practices for each email campaign
Basic Qualifications:
2 years or more CRM/email experience
Campaign Management
CRM Tools (i.e. Adobe Campaign, Salesforce)
HTML
Microsoft Suite
Adobe Dreamweaver
Adobe Photoshop
Preferred Qualifications:
SQL Knowledge preferred
Strong communication skills preferred
Required Education:
Bachelor’s degree
Jun 19, 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. 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 The Walt Disney Company’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 identifying and executing data acquisition opportunities and strategies, including those executed internally and/or with third parties
Deliver customer data analytics / decision science subject matter expertise and services to TWDC businesses
Establish global, company-wide standards and business policies for collection, sharing and use of customer information
Own and operate enterprise-wide tools and capabilities, including the enterprise-wide customer data marketing and analytics environment and any company-wide customer-facing tools (e.g., customer preference centers, account management tools).
Within Customer Information Management, the Campaign Services Team strives to provide a level of expertise and support to The Walt Disney Company when it comes to utilization of data for marketing use. By providing this support, it allows BUs to focus on their core marketing principles, while the Campaign Services team helps execute their objectives.
Responsibilities:
Provide guidance and leadership to various Disney business units in all aspects of CRM, including deployment strategy, audience selection, creative design and reporting.
Assist with the daily operations and deployment of CRM email campaigns through Email Service Provider
Design and code email creative through the use of HTML, Adobe Dreamweaver and Photoshop
Assist with gathering key metrics for to fulfill reporting requirements for CRM campaigns
Meet with business unit representatives and provide insights/analytics in regards to campaign performance
Manage audience selection and CRM best practices for each email campaign
Basic Qualifications:
2 years or more CRM/email experience
Campaign Management
CRM Tools (i.e. Adobe Campaign, Salesforce)
HTML
Microsoft Suite
Adobe Dreamweaver
Adobe Photoshop
Preferred Qualifications:
SQL Knowledge preferred
Strong communication skills preferred
Required Education:
Bachelor’s degree
Imagine yourself as a Sr. Workforce Analyst in People Insights where your natural curiosity for problem solving will help ensure we are leveraging data effectively to drive decisions within Human Resources. In this role, you will be able to blaze new paths in this data rich environment through developing data and reporting solutions that support functions within HR and the business. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex analysis, creative resolutions and impactful solutions. 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 operational reports through strategic analytics.
Responsibilities:
Translate high-level business objectives into consistent, accurate, efficient and effective reporting solutions, primarily through creating SQL extracts out of a highly normalized database for our data visualization team.
Leverage an array of technical applications and determine which is most appropriate for any given solution
Work collaboratively with other team members to develop comprehensive scalable data solutions which support cross-functional needs
Provide subject matter expertise regarding data, systems and the business
Partner with the data operations team to identify areas of opportunity to effectively combine data from disparate sources
Connect to and transform data using a consistent, sustainable approach
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 for client businesses to enhance visibility and accessibility to relevant information
Identify areas of opportunity and influence across levels and business units to increase operational efficiency
Basic Qualifications:
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 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 highly skilled in SQL with a thorough understanding of data and systems' infrastructures and how to best apply that knowledge when modeling your SQL extracts.
May 31, 2019
Full-time
Imagine yourself as a Sr. Workforce Analyst in People Insights where your natural curiosity for problem solving will help ensure we are leveraging data effectively to drive decisions within Human Resources. In this role, you will be able to blaze new paths in this data rich environment through developing data and reporting solutions that support functions within HR and the business. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex analysis, creative resolutions and impactful solutions. 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 operational reports through strategic analytics.
Responsibilities:
Translate high-level business objectives into consistent, accurate, efficient and effective reporting solutions, primarily through creating SQL extracts out of a highly normalized database for our data visualization team.
Leverage an array of technical applications and determine which is most appropriate for any given solution
Work collaboratively with other team members to develop comprehensive scalable data solutions which support cross-functional needs
Provide subject matter expertise regarding data, systems and the business
Partner with the data operations team to identify areas of opportunity to effectively combine data from disparate sources
Connect to and transform data using a consistent, sustainable approach
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 for client businesses to enhance visibility and accessibility to relevant information
Identify areas of opportunity and influence across levels and business units to increase operational efficiency
Basic Qualifications:
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 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 highly skilled in SQL with a thorough understanding of data and systems' infrastructures and how to best apply that knowledge when modeling your SQL extracts.
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. This segment is responsible for The Walt Disney Company’s direct-to-consumer businesses globally, including the ESPN+ sports streaming service, programmed in partnership with ESPN; the upcoming Disney-branded direct-to-consumer streaming service; and the Company’s ownership stake in Hulu. As part of the Direct-to-Consumer and International segment, Disney Streaming Services, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company. We are seeking a Senior Data Analyst who will focus on analyzing subscriber retention and engagement. Collaborating across marketing, product, data engineering, data science and business teams, this position will design and implement reporting that enables internal clients to access, explore and monitor data, as well as perform analysis and share underlying trends and insights to help teams have a better understanding of the ESPN+ and Disney+ subscriber, audience behavior and engagement drivers.
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 the platform. When a metric 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
Experience with Python/R or other statistical programming language a plus
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.
May 31, 2019
Full-time
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. This segment is responsible for The Walt Disney Company’s direct-to-consumer businesses globally, including the ESPN+ sports streaming service, programmed in partnership with ESPN; the upcoming Disney-branded direct-to-consumer streaming service; and the Company’s ownership stake in Hulu. As part of the Direct-to-Consumer and International segment, Disney Streaming Services, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company. We are seeking a Senior Data Analyst who will focus on analyzing subscriber retention and engagement. Collaborating across marketing, product, data engineering, data science and business teams, this position will design and implement reporting that enables internal clients to access, explore and monitor data, as well as perform analysis and share underlying trends and insights to help teams have a better understanding of the ESPN+ and Disney+ subscriber, audience behavior and engagement drivers.
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 the platform. When a metric 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
Experience with Python/R or other statistical programming language a plus
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.
The Brand and Consumer Research Team of the Disney Channel Worldwide Consumer Insights department oversees brand, content, digital and strategy research projects for Disney Channel, Disney Junior, Disney XD, and Radio Disney. Working in close collaboration with the ratings and analytics team, the brand and consumer research team conducts qualitative and quantitative research with core consumers to inform and impact departments across the division, including Development, Programming, Marketing, Franchise, Digital and Strategy teams.
Responsibilities:
A day in the life… You will support research projects across Disney Channel, Disney XD, Disney Junior, and Radio Disney. Also assist department in fieldwork and execution of both qualitative and quantitative studies.
Help coordinate projects, act as a liaison with vendors, assist in data analyses, and proof reading and writing surveys, discussion guides and reports
Compile key insights from primary and syndicated studies to fulfill client requests
Utilize and mine various syndicated research studies for marketing and strategic purposes, as well as provide regular updates on topics to aid branding and marketing decisions
Gather data and perform analytics on time-sensitive projects
Create and edit presentations in a creative and executive friendly manner
Keep team informed on relevant landscape information - review/write summaries of syndicated reports, produce regular reports/memos on industry trends
Provide support for pilot test focus groups and other qualitative research (prepares stimulus, reviews pilots, takes notes)
Create and maintain department reference documents and files
Assist in organizing/maintaining department research library
Basic Qualifications:
What you bring to the role…
Proficient in Microsoft Excel and PowerPoint
Strong organization skills and attention to detail
Excellent verbal and written communication skills
Relationship builder, who excels in a collaborative environment
A curious nature and interest in Consumer Insights / Market Research
Ability to prioritize competing tasks
Experience gathering, analyzing, and interpreting data and reporting on the results
Preferred Qualifications:
Previous marketing research experience
Strong critical thinking and project management skills
Required Education:
Sophomore, Junior, Senior (or recently graduated) with a Bachelor’s degree in Business, Marketing, Sociology, Psychology 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 September through December 2019. Must be able to work 30 - 40 hours a week, Monday through Friday.
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: Interns must provide their own housing for the duration of their internship program
May 30, 2019
Internship
The Brand and Consumer Research Team of the Disney Channel Worldwide Consumer Insights department oversees brand, content, digital and strategy research projects for Disney Channel, Disney Junior, Disney XD, and Radio Disney. Working in close collaboration with the ratings and analytics team, the brand and consumer research team conducts qualitative and quantitative research with core consumers to inform and impact departments across the division, including Development, Programming, Marketing, Franchise, Digital and Strategy teams.
Responsibilities:
A day in the life… You will support research projects across Disney Channel, Disney XD, Disney Junior, and Radio Disney. Also assist department in fieldwork and execution of both qualitative and quantitative studies.
Help coordinate projects, act as a liaison with vendors, assist in data analyses, and proof reading and writing surveys, discussion guides and reports
Compile key insights from primary and syndicated studies to fulfill client requests
Utilize and mine various syndicated research studies for marketing and strategic purposes, as well as provide regular updates on topics to aid branding and marketing decisions
Gather data and perform analytics on time-sensitive projects
Create and edit presentations in a creative and executive friendly manner
Keep team informed on relevant landscape information - review/write summaries of syndicated reports, produce regular reports/memos on industry trends
Provide support for pilot test focus groups and other qualitative research (prepares stimulus, reviews pilots, takes notes)
Create and maintain department reference documents and files
Assist in organizing/maintaining department research library
Basic Qualifications:
What you bring to the role…
Proficient in Microsoft Excel and PowerPoint
Strong organization skills and attention to detail
Excellent verbal and written communication skills
Relationship builder, who excels in a collaborative environment
A curious nature and interest in Consumer Insights / Market Research
Ability to prioritize competing tasks
Experience gathering, analyzing, and interpreting data and reporting on the results
Preferred Qualifications:
Previous marketing research experience
Strong critical thinking and project management skills
Required Education:
Sophomore, Junior, Senior (or recently graduated) with a Bachelor’s degree in Business, Marketing, Sociology, Psychology 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 September through December 2019. Must be able to work 30 - 40 hours a week, Monday through Friday.
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: Interns must provide their own housing for the duration of their internship program
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.
We Are…
At Walt Disney Television, you’ll help us tell stories that touch millions of people around the globe and new ways for us to connect with the world. Now is your opportunity to unleash your skills.
The Walt Disney Television’s Social Analytics team tracks fan-driven and network-driven activity on social media to deliver insights that will inform programming, marketing, product, and sales strategies across the organization.
Responsibilities:
A day in the life… The Social Analytics Intern will collect and analyze social media data related to key Walt Disney Television series through the use of social listening and analytics tools. The intern will help identify trends and craft insights that inform important programming and marketing decisions.
Basic Qualifications:
What you bring to the role…
Social media savvy with proven competency across social media platforms including Facebook, Twitter, Instagram, YouTube, etc.
Superior written communication skills
Proficiency in Microsoft Excel and PowerPoint
Experience gathering, analyzing, and interpreting data and reporting on the results
A curious nature and strong interest in the television industry
Strong organization skills and attention to detail
Relationship builder who excels in a collaborative environment
Proactive and able to balance multiple priorities in a fast-paced environment
Preferred Qualifications:
Familiarity with ABC and Freeform television series and talent
Previous internship experience in a related research and/or social analytics field
Experience using social listening or other text analytics tools
Experience crafting Boolean search queries
Required Education:
Sophomore, Junior, Senior (or recently graduated) with a Bachelor’s degree in Marketing, Research, 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 September through December 2019. Must be able to work 30 - 40 hours a week, Monday through Friday.
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: Interns must provide their own housing for the duration of their internship program
May 30, 2019
Internship
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.
We Are…
At Walt Disney Television, you’ll help us tell stories that touch millions of people around the globe and new ways for us to connect with the world. Now is your opportunity to unleash your skills.
The Walt Disney Television’s Social Analytics team tracks fan-driven and network-driven activity on social media to deliver insights that will inform programming, marketing, product, and sales strategies across the organization.
Responsibilities:
A day in the life… The Social Analytics Intern will collect and analyze social media data related to key Walt Disney Television series through the use of social listening and analytics tools. The intern will help identify trends and craft insights that inform important programming and marketing decisions.
Basic Qualifications:
What you bring to the role…
Social media savvy with proven competency across social media platforms including Facebook, Twitter, Instagram, YouTube, etc.
Superior written communication skills
Proficiency in Microsoft Excel and PowerPoint
Experience gathering, analyzing, and interpreting data and reporting on the results
A curious nature and strong interest in the television industry
Strong organization skills and attention to detail
Relationship builder who excels in a collaborative environment
Proactive and able to balance multiple priorities in a fast-paced environment
Preferred Qualifications:
Familiarity with ABC and Freeform television series and talent
Previous internship experience in a related research and/or social analytics field
Experience using social listening or other text analytics tools
Experience crafting Boolean search queries
Required Education:
Sophomore, Junior, Senior (or recently graduated) with a Bachelor’s degree in Marketing, Research, 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 September through December 2019. Must be able to work 30 - 40 hours a week, Monday through Friday.
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: Interns must provide their own housing for the duration of their internship program
At Disney, we are 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. At Walt Disney Television, you’ll help us tell stories that touch millions of people around the globe and new ways for us to connect with the world. Now is your opportunity to unleash your skills.
We Are…
The Advanced Analytics team within WDT Research is made up of data scientists with a variety of expertise, ranging from data engineering to machine learning to data visualization.
Responsibilities:
A Day in the Life…
You will support the Advanced Analytics team within the Walt Disney Television Research team. Leveraging tools like Tableau, SQL, R, and Python, you will assist in building out dashboards that automate existing reports, creating visualizations that allow business users to dive deeper into data, perform analysis to improve marketing campaign performance, and much more!
Basic Qualifications:
What You Bring to the Role…
Strong analytical and problem solving skills
Demonstrated experience using SQL to manage large multi-dimensional data sets
Experience with Python and/or R
Proficiency in developing Tableau dashboards
Strong oral and written communication skills
Experience collecting & analyzing data and reporting on the results
Strong attention to detail
Proficiency in Microsoft Excel including advanced formulas
Strong sense of responsibility, ownership, and pride in delivering quality results
Preferred Qualifications:
Experience building machine learning models
Previous experience in News and/or Entertainment, analyzing app behavior
Required Education:
Currently pursuing (or recently graduated with) a Master's degree in Data Science, Statistics, Mathematics, Operations Research, Physics 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 September 2019 through December 2019. Must be able to work 40 hours a week, Monday through Friday.
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: Interns must provide their own housing for the duration of their internship program.
May 30, 2019
Internship
At Disney, we are 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. At Walt Disney Television, you’ll help us tell stories that touch millions of people around the globe and new ways for us to connect with the world. Now is your opportunity to unleash your skills.
We Are…
The Advanced Analytics team within WDT Research is made up of data scientists with a variety of expertise, ranging from data engineering to machine learning to data visualization.
Responsibilities:
A Day in the Life…
You will support the Advanced Analytics team within the Walt Disney Television Research team. Leveraging tools like Tableau, SQL, R, and Python, you will assist in building out dashboards that automate existing reports, creating visualizations that allow business users to dive deeper into data, perform analysis to improve marketing campaign performance, and much more!
Basic Qualifications:
What You Bring to the Role…
Strong analytical and problem solving skills
Demonstrated experience using SQL to manage large multi-dimensional data sets
Experience with Python and/or R
Proficiency in developing Tableau dashboards
Strong oral and written communication skills
Experience collecting & analyzing data and reporting on the results
Strong attention to detail
Proficiency in Microsoft Excel including advanced formulas
Strong sense of responsibility, ownership, and pride in delivering quality results
Preferred Qualifications:
Experience building machine learning models
Previous experience in News and/or Entertainment, analyzing app behavior
Required Education:
Currently pursuing (or recently graduated with) a Master's degree in Data Science, Statistics, Mathematics, Operations Research, Physics 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 September 2019 through December 2019. Must be able to work 40 hours a week, Monday through Friday.
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: Interns must provide their own housing for the duration of their internship program.
