Reporting to the Vice President of Finance, Administration and Treasurer (“Treasurer”), the Director of Data Analytics will provide leadership, development, implementation and evaluation of the College’s enrollment management modeling, tuitions and fees pricing, and data warehouse integration, needs and communications. This position will exercise considerable discretion and judgement and project management for related activities and requires expertise in data analysis, statistical methods and financial modeling.
This is a full-time position for a period of up to two years. The ideal candidate is sharp, innovative, driven, has great attention to detail and an excellent ability to communicate productively and congenially with a variety of constituents. This position requires the ability to manage a demanding workload with multiple projects and deadlines and negotiate expectations against priorities and resources.
You can learn more about our team in the Office of the Treasurer by visiting us online.
Note : This is a summary of the essential functions and requirements for the position; a detailed description is available at the hyperlink listed below.
ESSENTIAL FUNCTIONS:
Lead the development of enrollment model(s) integrated to the College’s revenue budget.
Conduct enrollment modeling for growth or changing financial aid strategies.
Provide high-level expertise in data analysis. Conduct pricing analyses for tuition, housing and other College fees.
Build, lead, and facilitate the integration of the data warehouse across the institution.
Collect, prepare and maintain institutional data in a variety of formats for senior leadership, the Board of Trustees, the Faculty Executive Committee and other committees as requested.
Promote and develop opportunities to improve business intelligence across the institution.
Manage related projects for data analyses, enhancements or updates, new system integrations and implementations, and related activities.
Prepare and lead communications regarding complex data to various constituents.
Assist with the development of department and institutional dashboards and designing reports.
Research, evaluate and recommend protocols and technologies to enhance data collection, quality and usage across the institution. Establish and document best practices for data technologies, tools and processes.
Work Hours: This is a full-time, interim position working up to two years. The regular hours for this position are 8:00 am to 5:00 pm, Monday through Friday. These hours may vary due to needs of the College or department. May require occasional evening or weekend work.
REQUIREMENTS:
Expert knowledge of data analysis, statistical methods and financial modeling, preferably in a higher education setting.
Demonstrated knowledge in the areas of trend and market analysis, and statistical analysis.
Strong computer skills.
Ability to synthesize and translate highly technical data into meaningful, clear and concise information for a variety of audiences.
Demonstrated project management skills.
Superior communications skills in English.
Exceptional organizational skills.
Ability to work collaboratively in an academic environment with a diverse community of senior leadership, staff, faculty, students and other stakeholders.
Strong interpersonal skills and adaptability. Diplomatic and persuasive in dealing with competing priorities and limited resources. Adapt to changes and manage unexpected delays or events with aplomb.
Demonstrated skills in conducting research, preferably in a higher education setting with respect to admission, enrollment and tuition and fees. Ability and commitment to stay current in financial trends in higher education.
Ability to operate with considerable degree of independence, initiative, and judgment. Strong problem-solving skills, accountability and attention to detail.
Education: Must have a master’s degree in business or applied analytics, data science, statistical analysis or a related field; or an equivalent combination of education and relevant experience to provide the required knowledge, skills and abilities.
Experience: Must have at least five years related experience (preferably in higher education), including some project management experience. Demonstrated experience preparing financial models.
COMPENSATION:
Pay Rate: The monthly rate is commensurate with qualifications plus excellent benefits subject to the term and conditions in the policy or plan documents.
Benefits: This position is eligible for the College’s full program of employee benefits subject to the terms and conditions in the plan documents/policies for an interim position, including: medical, dental, vision, group life insurance of at least $20,000, 12% employer retirement contributions after one year, gym/fitness resources (including a personal trainer), free parking, and more. Note: Restrictions or service requirements apply . Visit our website for additional details.
TO APPLY:
Priority Deadline: Review of applications will commence immediately.
Please click the "Apply Now" button on this page to submit the following documents:
Cover Letter
Resume
Additionally, please visit the following link to be directed to an online Box folder to view the full job description, download the Staff Employment Application Form (required) and Applicant Information Form (optional).
https://pitzer.box.com/s/ieidn2xgepxhvmr2iddw7vye94fyzgbk
Note: Applicants selected for interview will be asked to provide three (3) professional references.
Aug 16, 2019
Full-time
Reporting to the Vice President of Finance, Administration and Treasurer (“Treasurer”), the Director of Data Analytics will provide leadership, development, implementation and evaluation of the College’s enrollment management modeling, tuitions and fees pricing, and data warehouse integration, needs and communications. This position will exercise considerable discretion and judgement and project management for related activities and requires expertise in data analysis, statistical methods and financial modeling.
This is a full-time position for a period of up to two years. The ideal candidate is sharp, innovative, driven, has great attention to detail and an excellent ability to communicate productively and congenially with a variety of constituents. This position requires the ability to manage a demanding workload with multiple projects and deadlines and negotiate expectations against priorities and resources.
You can learn more about our team in the Office of the Treasurer by visiting us online.
Note : This is a summary of the essential functions and requirements for the position; a detailed description is available at the hyperlink listed below.
ESSENTIAL FUNCTIONS:
Lead the development of enrollment model(s) integrated to the College’s revenue budget.
Conduct enrollment modeling for growth or changing financial aid strategies.
Provide high-level expertise in data analysis. Conduct pricing analyses for tuition, housing and other College fees.
Build, lead, and facilitate the integration of the data warehouse across the institution.
Collect, prepare and maintain institutional data in a variety of formats for senior leadership, the Board of Trustees, the Faculty Executive Committee and other committees as requested.
Promote and develop opportunities to improve business intelligence across the institution.
Manage related projects for data analyses, enhancements or updates, new system integrations and implementations, and related activities.
Prepare and lead communications regarding complex data to various constituents.
Assist with the development of department and institutional dashboards and designing reports.
Research, evaluate and recommend protocols and technologies to enhance data collection, quality and usage across the institution. Establish and document best practices for data technologies, tools and processes.
Work Hours: This is a full-time, interim position working up to two years. The regular hours for this position are 8:00 am to 5:00 pm, Monday through Friday. These hours may vary due to needs of the College or department. May require occasional evening or weekend work.
REQUIREMENTS:
Expert knowledge of data analysis, statistical methods and financial modeling, preferably in a higher education setting.
Demonstrated knowledge in the areas of trend and market analysis, and statistical analysis.
Strong computer skills.
Ability to synthesize and translate highly technical data into meaningful, clear and concise information for a variety of audiences.
Demonstrated project management skills.
Superior communications skills in English.
Exceptional organizational skills.
Ability to work collaboratively in an academic environment with a diverse community of senior leadership, staff, faculty, students and other stakeholders.
Strong interpersonal skills and adaptability. Diplomatic and persuasive in dealing with competing priorities and limited resources. Adapt to changes and manage unexpected delays or events with aplomb.
Demonstrated skills in conducting research, preferably in a higher education setting with respect to admission, enrollment and tuition and fees. Ability and commitment to stay current in financial trends in higher education.
Ability to operate with considerable degree of independence, initiative, and judgment. Strong problem-solving skills, accountability and attention to detail.
Education: Must have a master’s degree in business or applied analytics, data science, statistical analysis or a related field; or an equivalent combination of education and relevant experience to provide the required knowledge, skills and abilities.
Experience: Must have at least five years related experience (preferably in higher education), including some project management experience. Demonstrated experience preparing financial models.
COMPENSATION:
Pay Rate: The monthly rate is commensurate with qualifications plus excellent benefits subject to the term and conditions in the policy or plan documents.
Benefits: This position is eligible for the College’s full program of employee benefits subject to the terms and conditions in the plan documents/policies for an interim position, including: medical, dental, vision, group life insurance of at least $20,000, 12% employer retirement contributions after one year, gym/fitness resources (including a personal trainer), free parking, and more. Note: Restrictions or service requirements apply . Visit our website for additional details.
TO APPLY:
Priority Deadline: Review of applications will commence immediately.
Please click the "Apply Now" button on this page to submit the following documents:
Cover Letter
Resume
Additionally, please visit the following link to be directed to an online Box folder to view the full job description, download the Staff Employment Application Form (required) and Applicant Information Form (optional).
https://pitzer.box.com/s/ieidn2xgepxhvmr2iddw7vye94fyzgbk
Note: Applicants selected for interview will be asked to provide three (3) professional references.
Company
Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.
We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission.
Department
The Field Human Resources Department (Field HR) is responsible for recruitment, selection, placement, and retainment of qualified and well-suited field staff to meet the growing needs of MSF field operations.
Project
The People Analytics team aims to strengthen the analytical capabilities of Human Resources (HR) across MSF so that HR planning is more strategic, data-driven and evidence-based. Working across the movement, with internal and external stakeholders, we aim to ensure that data is being used effectively to help the organization answer key HR questions and deliver strategic value. The team is responsible for defining and driving the strategic path for People Analytics across the movement by engaging and coordinating with concurrent HR analytics efforts internally and the People Analytics community externally.
Under the direction of the Head of People Analytics, the Data Scientist will help identify opportunities for data-driven solutioning in HR and will be the focal point for all technical aspects of the team’s work. You will help us discover the information hidden in the vast amounts of data available to us, and help us make evidence-based decisions about our workforce and our HR activities. You will help us explore how statistical modeling, predictive algorithms and future-state simulation can aid in strategic workforce planning. Your primary focus will be in applying data mining techniques, doing statistical analysis, building predictive models and developing data tools to integrate into our existing business intelligence systems. This is a unique and exciting opportunity for a Data Scientist to use their skills for social good while tackling fascinating questions about strategic workforce planning, talent and people decisions in the NGO/humanitarian sector. The ideal candidate is passionate about Data Science and how it can be used to positively influence organizations.
Tasks
Job Functions and Responsibilities
Perform data manipulation, wrangling, cleansing and analysis (in Python and/or R);
Build, iterate and validate predictive models using multiple statistical techniques;
Transform and clean large, messy and often distributed datasets by using data cleaning tools/methods to improve data quality by removing unwanted observations, fixing structural errors, investigating outliers, manage missing data (dropping, imputing, etc.), scrubbing for duplicate data and validating the accuracy of data;
Play a key role in developing a data infrastructure;
Provide support to the People Analytics team by helping interpret, understand and extract value and meaning out of MSF’s HR data;
Continuously learn and share knowledge about new ways to mine data and distill meaning out of the increasing amount of data available to us;
Provide insight on how to turn data insights into concrete measurable actions;
Take ownership of data models and solutions by communicating and advocating their use to the Head of People Analytics;
When feasible, apply AI, future-state simulation, machine learning, deep learning, neural networks to MSF’s HR data;
Collaborate closely with the People Analytics Team and play an advisory role to/pair with the Data Science Intern(s).
Travel
The role will not include travel, however collaboration with teams across the MSF movement globally may be required.
Basic Qualifications
Minimum 2-3 years’ proven professional experience as a Data Scientist/Statistician or similar quantitative role using large, complex datasets and building models to address real organizational challenges and inform business decisions;
A Master’s or Ph.D. in a relevant subject (e.g., Statistics, Data Science, Computational Mathematics, Quantitative Social Science, etc.);
Must have expert skills and knowledge in R and Python;
Experience with other general-purpose programming language like Java is a plus;
Strong skills in applied statistics skills using a variety of techniques to extract insights from data;
Proficiency in relational and non-relational databases including SQL;
Expert skills in MS Excel;
Familiarity with BI tools (i.e. PowerBI ( preferred) , Qlik, Tableau);
Experience in data mining;
Experience in data wrangling/cleansing;
Familiarity with Natural Language Processing;
Familiarity with machine learning, deep learning, neural networks and data engineering;
Superior attention to detail;
Excellent communication and data visualization skills;
Passion for data and its use in driving organizational change;
Ability to adapt to a rapidly growing and scaling work environment;
Strong work ethic, intellectual curiosity, and positive attitude;
A willingness to perform other tasks as assigned.
Preferred Qualifications
Analytics experience in the HR, non-profit, humanitarian or global health field;
An interest or background in HR Analytics, Strategic Workforce Planning or People Analytics;
Experience with deploying data tools for non-technical end users;
Experience with People Data such as compensation, attrition/retention, and leadership pipeline development;
Experience working on a global team.
Type
HQ
Pay Class
Full Time Exempt
Contract Type
Fixed Term Contract (12 Month Contract)
Additional Information
Starting salary high 80s to low 90s (commensurate with experience);
Relocation assistance and visa sponsorship will be offered for this position.
Desired Hiring Date
ASAP
Working Time %
100,00
How to Apply
Click the Apply Now button on this page to send letter of interest/cover letter and resume.
ATTN: “ Data Scientist” position. No phone calls please. Applications without a cover letter (1-page maximum) will not be reviewed.
Application Deadline: August 30, 2019
*Applications will be reviewed, and interviews held, on a rolling basis. Interested applicants are strongly encouraged to send their application materials as soon as possible.
Jul 31, 2019
Full-time
Company
Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.
We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission.
Department
The Field Human Resources Department (Field HR) is responsible for recruitment, selection, placement, and retainment of qualified and well-suited field staff to meet the growing needs of MSF field operations.
Project
The People Analytics team aims to strengthen the analytical capabilities of Human Resources (HR) across MSF so that HR planning is more strategic, data-driven and evidence-based. Working across the movement, with internal and external stakeholders, we aim to ensure that data is being used effectively to help the organization answer key HR questions and deliver strategic value. The team is responsible for defining and driving the strategic path for People Analytics across the movement by engaging and coordinating with concurrent HR analytics efforts internally and the People Analytics community externally.
Under the direction of the Head of People Analytics, the Data Scientist will help identify opportunities for data-driven solutioning in HR and will be the focal point for all technical aspects of the team’s work. You will help us discover the information hidden in the vast amounts of data available to us, and help us make evidence-based decisions about our workforce and our HR activities. You will help us explore how statistical modeling, predictive algorithms and future-state simulation can aid in strategic workforce planning. Your primary focus will be in applying data mining techniques, doing statistical analysis, building predictive models and developing data tools to integrate into our existing business intelligence systems. This is a unique and exciting opportunity for a Data Scientist to use their skills for social good while tackling fascinating questions about strategic workforce planning, talent and people decisions in the NGO/humanitarian sector. The ideal candidate is passionate about Data Science and how it can be used to positively influence organizations.
Tasks
Job Functions and Responsibilities
Perform data manipulation, wrangling, cleansing and analysis (in Python and/or R);
Build, iterate and validate predictive models using multiple statistical techniques;
Transform and clean large, messy and often distributed datasets by using data cleaning tools/methods to improve data quality by removing unwanted observations, fixing structural errors, investigating outliers, manage missing data (dropping, imputing, etc.), scrubbing for duplicate data and validating the accuracy of data;
Play a key role in developing a data infrastructure;
Provide support to the People Analytics team by helping interpret, understand and extract value and meaning out of MSF’s HR data;
Continuously learn and share knowledge about new ways to mine data and distill meaning out of the increasing amount of data available to us;
Provide insight on how to turn data insights into concrete measurable actions;
Take ownership of data models and solutions by communicating and advocating their use to the Head of People Analytics;
When feasible, apply AI, future-state simulation, machine learning, deep learning, neural networks to MSF’s HR data;
Collaborate closely with the People Analytics Team and play an advisory role to/pair with the Data Science Intern(s).
Travel
The role will not include travel, however collaboration with teams across the MSF movement globally may be required.
Basic Qualifications
Minimum 2-3 years’ proven professional experience as a Data Scientist/Statistician or similar quantitative role using large, complex datasets and building models to address real organizational challenges and inform business decisions;
A Master’s or Ph.D. in a relevant subject (e.g., Statistics, Data Science, Computational Mathematics, Quantitative Social Science, etc.);
Must have expert skills and knowledge in R and Python;
Experience with other general-purpose programming language like Java is a plus;
Strong skills in applied statistics skills using a variety of techniques to extract insights from data;
Proficiency in relational and non-relational databases including SQL;
Expert skills in MS Excel;
Familiarity with BI tools (i.e. PowerBI ( preferred) , Qlik, Tableau);
Experience in data mining;
Experience in data wrangling/cleansing;
Familiarity with Natural Language Processing;
Familiarity with machine learning, deep learning, neural networks and data engineering;
Superior attention to detail;
Excellent communication and data visualization skills;
Passion for data and its use in driving organizational change;
Ability to adapt to a rapidly growing and scaling work environment;
Strong work ethic, intellectual curiosity, and positive attitude;
A willingness to perform other tasks as assigned.
Preferred Qualifications
Analytics experience in the HR, non-profit, humanitarian or global health field;
An interest or background in HR Analytics, Strategic Workforce Planning or People Analytics;
Experience with deploying data tools for non-technical end users;
Experience with People Data such as compensation, attrition/retention, and leadership pipeline development;
Experience working on a global team.
Type
HQ
Pay Class
Full Time Exempt
Contract Type
Fixed Term Contract (12 Month Contract)
Additional Information
Starting salary high 80s to low 90s (commensurate with experience);
Relocation assistance and visa sponsorship will be offered for this position.
Desired Hiring Date
ASAP
Working Time %
100,00
How to Apply
Click the Apply Now button on this page to send letter of interest/cover letter and resume.
ATTN: “ Data Scientist” position. No phone calls please. Applications without a cover letter (1-page maximum) will not be reviewed.
Application Deadline: August 30, 2019
*Applications will be reviewed, and interviews held, on a rolling basis. Interested applicants are strongly encouraged to send their application materials as soon as possible.
The Experience Insights team seeks to tell the story of our Guests' holistic vacation experiences and pioneer new tactics to enhance vacations through data integration, data science, statistical modeling/analysis, and delivery of innovative services. You will be responsible for building operations research and statistical models for various initiatives supporting the Guest experience. Responsibilities :
Make an impact by….
Performing data collection, data cleansing and validation, and reporting/analysis tasks
Integrating multiple data sets contributing to a '360-degree' view of the Guest
Supporting the analysis and validation of forecasting, predictive, and optimization models
Basic Qualifications :
What you bring to the role…
Proficient in optimized SQL, Teradata SQL
Experience with Python
Experience with Tableau
Ability to convert customer needs in to a completed solution, managing several projects simultaneously with strong organizational skills, partnering skills and attention to detail
Aptitude and willingness to learn new science, software, and analytics applications
Ability to write, create, and verbalize a strong presentation
Preferred Qualifications:
Experience with SAS
Required Education :
Majoring in Data Analytics, Data Science, or a related area
Cumulative GPA of 3.0 or higher (Note: Cumulative GPA stated on resume and application must match cumulative GPA of current institution’s transcript. Please, no rounding.)
Additional Information :
Internship Eligibility:
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. Note: Once you have completed one consecutive year of employment on a Disney internship or program, there must be a minimum 6 month gap before the start of a new internship or program
Must possess unrestricted work authorization
Must provide full work availability
Must provide own transportation to/from work
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 Length: The approximate dates of this internship are January to June 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company-sponsored housing is available on a first-come, first-served basis. Recommendation – Print This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview. Materials Required:
College transcripts (official or unofficial) - Please upload your transcript while completing the online application
To upload this document:
Log into your dashboard at the website: DisneyInterns.com
Click the View Your Dashboard and select Profile
Click the Add Files
Be sure your document is in the required title format: FirstName_LastName_Type (i.e. Mickey_Mouse_Transcript)
Select document type of “Transcript"
DisneyData
Aug 20, 2019
Internship
The Experience Insights team seeks to tell the story of our Guests' holistic vacation experiences and pioneer new tactics to enhance vacations through data integration, data science, statistical modeling/analysis, and delivery of innovative services. You will be responsible for building operations research and statistical models for various initiatives supporting the Guest experience. Responsibilities :
Make an impact by….
Performing data collection, data cleansing and validation, and reporting/analysis tasks
Integrating multiple data sets contributing to a '360-degree' view of the Guest
Supporting the analysis and validation of forecasting, predictive, and optimization models
Basic Qualifications :
What you bring to the role…
Proficient in optimized SQL, Teradata SQL
Experience with Python
Experience with Tableau
Ability to convert customer needs in to a completed solution, managing several projects simultaneously with strong organizational skills, partnering skills and attention to detail
Aptitude and willingness to learn new science, software, and analytics applications
Ability to write, create, and verbalize a strong presentation
Preferred Qualifications:
Experience with SAS
Required Education :
Majoring in Data Analytics, Data Science, or a related area
Cumulative GPA of 3.0 or higher (Note: Cumulative GPA stated on resume and application must match cumulative GPA of current institution’s transcript. Please, no rounding.)
Additional Information :
Internship Eligibility:
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. Note: Once you have completed one consecutive year of employment on a Disney internship or program, there must be a minimum 6 month gap before the start of a new internship or program
Must possess unrestricted work authorization
Must provide full work availability
Must provide own transportation to/from work
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 Length: The approximate dates of this internship are January to June 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company-sponsored housing is available on a first-come, first-served basis. Recommendation – Print This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview. Materials Required:
College transcripts (official or unofficial) - Please upload your transcript while completing the online application
To upload this document:
Log into your dashboard at the website: DisneyInterns.com
Click the View Your Dashboard and select Profile
Click the Add Files
Be sure your document is in the required title format: FirstName_LastName_Type (i.e. Mickey_Mouse_Transcript)
Select document type of “Transcript"
DisneyData
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications :
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
Aug 18, 2019
Full-time
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications :
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
This individual will be responsible for Programmatic campaign management activities such as campaign set-up, documentation creation and maintenance, QA, performance reporting, and billing reconciliation. They will also be responsible for budget pacing review and recommendation of related campaign adjustments to Programmatic Media Manager. The ideal candidate will have previous online ad experience. Prior self-service experience with DSPs and active campaign management is a huge plus.
Responsibilities :
Traffic, QA, and monitor Programmatic media campaigns in the DSPs
Ensure Programmatic campaigns are created and implemented in DSPs according to best practices and to achieve optimal campaign performance
Self-service campaign management within DSPs toward KPIs
Support Programmatic Campaign Manager on campaign management including budget changes, pacing and performance optimization, strategy, and reporting
Handle daily campaign maintenance, including internal questions regarding tracking and status of various campaigns
Assist in the development of partner-facing campaign performance reports
Participate in regular knowledge share sessions to learn new strategies for optimization and enhancement
Basic Qualifications :
1-3 years of digital display experience
Experience in management of digital accounts with a focus on performance
In-depth knowledge of self-service programmatic buying, DSPs, and the wider digital display landscape
Self-service experience using Doubleclick Bid Manager (DBM/DV360), Verizon DSP (Oath/BrightRoll), or other DSP is a huge plus
Good knowledge of the fundamentals of Ad Serving and display technologies
Ability to think creatively, strategically, and identify and resolve problems
Organizational and time management skills
Excellent written and verbal communication skills
Ability to form strong relationships with clients and internal teams
Passion for online advertising technology
Familiarity of how web sites and online ads work
Proficiency in Microsoft Office solutions especially Excel
Analytical thinking and mathematical skills
Excellent communication and writing skills
Required Education :
Four-year college degree or equivalent work experience. Marketing, Mathematics, Statistics, or Finance is a plus (past relevant work experience is prioritized over degree focus)
Aug 17, 2019
Full-time
This individual will be responsible for Programmatic campaign management activities such as campaign set-up, documentation creation and maintenance, QA, performance reporting, and billing reconciliation. They will also be responsible for budget pacing review and recommendation of related campaign adjustments to Programmatic Media Manager. The ideal candidate will have previous online ad experience. Prior self-service experience with DSPs and active campaign management is a huge plus.
Responsibilities :
Traffic, QA, and monitor Programmatic media campaigns in the DSPs
Ensure Programmatic campaigns are created and implemented in DSPs according to best practices and to achieve optimal campaign performance
Self-service campaign management within DSPs toward KPIs
Support Programmatic Campaign Manager on campaign management including budget changes, pacing and performance optimization, strategy, and reporting
Handle daily campaign maintenance, including internal questions regarding tracking and status of various campaigns
Assist in the development of partner-facing campaign performance reports
Participate in regular knowledge share sessions to learn new strategies for optimization and enhancement
Basic Qualifications :
1-3 years of digital display experience
Experience in management of digital accounts with a focus on performance
In-depth knowledge of self-service programmatic buying, DSPs, and the wider digital display landscape
Self-service experience using Doubleclick Bid Manager (DBM/DV360), Verizon DSP (Oath/BrightRoll), or other DSP is a huge plus
Good knowledge of the fundamentals of Ad Serving and display technologies
Ability to think creatively, strategically, and identify and resolve problems
Organizational and time management skills
Excellent written and verbal communication skills
Ability to form strong relationships with clients and internal teams
Passion for online advertising technology
Familiarity of how web sites and online ads work
Proficiency in Microsoft Office solutions especially Excel
Analytical thinking and mathematical skills
Excellent communication and writing skills
Required Education :
Four-year college degree or equivalent work experience. Marketing, Mathematics, Statistics, or Finance is a plus (past relevant work experience is prioritized over degree focus)
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 data integration design to implementation of new policy.
Responsibilities :
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 into data needs for development
Partner with data developers to implement and validate data infrastructure enhancements
Provide consultative support for HR clients on questions regarding data and relationships along with delivering creative solutions to data related problems.
Basic Qualifications :
You are passionate about the benefits of accurate and actionable data, you drive consistency and enjoy partnering with others to accomplish the task
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, data quality, and/or data governance
You demonstrate the ability to translate business issues and requirements into actionable plans, and to deliver against those plans
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You can effectively handle and maintain confidential information
Aug 10, 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 data integration design to implementation of new policy.
Responsibilities :
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 into data needs for development
Partner with data developers to implement and validate data infrastructure enhancements
Provide consultative support for HR clients on questions regarding data and relationships along with delivering creative solutions to data related problems.
Basic Qualifications :
You are passionate about the benefits of accurate and actionable data, you drive consistency and enjoy partnering with others to accomplish the task
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, data quality, and/or data governance
You demonstrate the ability to translate business issues and requirements into actionable plans, and to deliver against those plans
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You can effectively handle and maintain confidential information
A team of high performing problem-solvers, and subject matter experts that solve complex Talent, Human Capital, and HR issues using proven scientific and mathematical techniques and communicate in ways which resonate with clients to support business decisions.
Responsibilities :
Consult with clients across the organization, translating high-level business objectives into analytical solutions that provide clear and actionable insights
Conduct analysis connecting behavioral analytics with labor economics to identify key insights and drivers to employee behavior
Construct complex data sets and measures to be used in analyses that drive business decisions
Develop sustainable statistical algorithms and machine learning processes that support HR business processes, tools, models, or products
Work collaboratively with team members to develop analytical solutions which support cross-functional needs
Develop and deliver model/forecast outputs to be leveraged by key partners, clients, and internal reporting Proactively identify analytical opportunities to solve key business issues or strategies
Synthesize analytical output and findings for storytelling and decision making
You have deep technical knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You are an abstract thinker with the ability to solve complex problems in creative, sustainable ways
You have proven experience dealing in labor economics or behavioral analytics
You have strong critical thinking skills and ask relevant questions to improve processes and build efficiencies
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You are proactive and self-motivated with the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends
You can effectively handle and maintain confidential information
You are adaptable and have high level of comfort with change and ambiguity
Basic Qualifications :
4 years at an analyst level in a data-oriented role dealing in statistics or analytics. Deep knowledge of analytical tools and processes & data infrastructures
Preferred Qualifications:
Decision Science or Workforce Planning.
Required Education :
4 year degree in Organization Psychology, Mathematics, Statistics, Economics or a related field.
Preferred Education :
Advanced Degree (Masters or above) in an Organization Psychology, Mathematics, and Statistics, Economics or a related field.
Aug 09, 2019
Full-time
A team of high performing problem-solvers, and subject matter experts that solve complex Talent, Human Capital, and HR issues using proven scientific and mathematical techniques and communicate in ways which resonate with clients to support business decisions.
Responsibilities :
Consult with clients across the organization, translating high-level business objectives into analytical solutions that provide clear and actionable insights
Conduct analysis connecting behavioral analytics with labor economics to identify key insights and drivers to employee behavior
Construct complex data sets and measures to be used in analyses that drive business decisions
Develop sustainable statistical algorithms and machine learning processes that support HR business processes, tools, models, or products
Work collaboratively with team members to develop analytical solutions which support cross-functional needs
Develop and deliver model/forecast outputs to be leveraged by key partners, clients, and internal reporting Proactively identify analytical opportunities to solve key business issues or strategies
Synthesize analytical output and findings for storytelling and decision making
You have deep technical knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You are an abstract thinker with the ability to solve complex problems in creative, sustainable ways
You have proven experience dealing in labor economics or behavioral analytics
You have strong critical thinking skills and ask relevant questions to improve processes and build efficiencies
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You are proactive and self-motivated with the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends
You can effectively handle and maintain confidential information
You are adaptable and have high level of comfort with change and ambiguity
Basic Qualifications :
4 years at an analyst level in a data-oriented role dealing in statistics or analytics. Deep knowledge of analytical tools and processes & data infrastructures
Preferred Qualifications:
Decision Science or Workforce Planning.
Required Education :
4 year degree in Organization Psychology, Mathematics, Statistics, Economics or a related field.
Preferred Education :
Advanced Degree (Masters or above) in an Organization Psychology, Mathematics, and Statistics, Economics or a related field.
Direct-to-Consumer-and-International (DTCI) is Disney’s global, multiplatform media, product, technology, and distribution organization for world-class content. DTCI is comprised of Disney’s international media and direct-to-consumer businesses globally, including all Disney networks outside of the US, the ESPN+ streaming service, the upcoming Disney-branded direct-to-consumer streaming service and the Company’s ownership stake in Hulu. The DTCI Tech organization focuses on providing ground-breaking innovation and driving the strategic use and development of technology to power the DTCI business, deliver world-class products and experiences to consumers around the world. The Data Platform group within DTCI Tech, is charged with developing a consolidated data platform that supports DTCI business stakeholders with the means to access, activate and analyze all of Disney’s consumer data in a secure and compliant way. The Product Manager, Data Platforms role will focus on audience data curation and activation product offerings servicing a diverse group of stakeholders across TWDC including ad sales, marketing, analytics, among others. You provide the coordination between your stakeholders and technical product management partners responsible for building the products to stakeholder requirements. You represent the voice of the customer and are responsible for supporting the product strategy, execution and launch of key data-driven products across DTCI’s portfolio of media properties. You must be an analytical, articulate, and business-minded self-starter, capable of setting strategic priorities, executing tactically and communicating effectively to stakeholders at senior and peer levels throughout the course of a product lifecycle.
Responsibilities :
Support marketing/ sales/ product audience activation via the Bluekai DMP, LiveRamp, and other relevant data platforms.
Assist in designing and shepherding custom integrations with Sr. Product Manager to support additional activation points out of CDP, DMP, LiveRamp, and other data platforms.
Document activation processes for end users and sales enablement teams.
Support Sr. Product Manager on initiatives to train key business stakeholder on Data Platform products.
Collaborate with stakeholders for effective product requirements gathering, operational and go-to-market execution and communication.
Basic Qualifications :
Must have minimum 3 years previous experience in product management, product marketing, data, technology, digital marketing and/or consulting in a related field.
Must have experience with data, including data products such as Data Management Platforms or Data Matching Partners (e.g.: Datalogix, LiveRamp, BlueKai, Adobe, Experian, Facebook, etc.) .
Highly organized, and able to balance multiple projects at once.
Excellent problem-solving, confidence in explaining intricate problems & solutions in a simple way, and able to balance working autonomously as well as cross-functionally.
Curious, passionate and exhibits strong worth ethic.
Required Education :
BA / BS required, preferably with focus in Business, Communication, Advertising, Marketing, Computer Science and/or Engineering.
Aug 04, 2019
Full-time
Direct-to-Consumer-and-International (DTCI) is Disney’s global, multiplatform media, product, technology, and distribution organization for world-class content. DTCI is comprised of Disney’s international media and direct-to-consumer businesses globally, including all Disney networks outside of the US, the ESPN+ streaming service, the upcoming Disney-branded direct-to-consumer streaming service and the Company’s ownership stake in Hulu. The DTCI Tech organization focuses on providing ground-breaking innovation and driving the strategic use and development of technology to power the DTCI business, deliver world-class products and experiences to consumers around the world. The Data Platform group within DTCI Tech, is charged with developing a consolidated data platform that supports DTCI business stakeholders with the means to access, activate and analyze all of Disney’s consumer data in a secure and compliant way. The Product Manager, Data Platforms role will focus on audience data curation and activation product offerings servicing a diverse group of stakeholders across TWDC including ad sales, marketing, analytics, among others. You provide the coordination between your stakeholders and technical product management partners responsible for building the products to stakeholder requirements. You represent the voice of the customer and are responsible for supporting the product strategy, execution and launch of key data-driven products across DTCI’s portfolio of media properties. You must be an analytical, articulate, and business-minded self-starter, capable of setting strategic priorities, executing tactically and communicating effectively to stakeholders at senior and peer levels throughout the course of a product lifecycle.
Responsibilities :
Support marketing/ sales/ product audience activation via the Bluekai DMP, LiveRamp, and other relevant data platforms.
Assist in designing and shepherding custom integrations with Sr. Product Manager to support additional activation points out of CDP, DMP, LiveRamp, and other data platforms.
Document activation processes for end users and sales enablement teams.
Support Sr. Product Manager on initiatives to train key business stakeholder on Data Platform products.
Collaborate with stakeholders for effective product requirements gathering, operational and go-to-market execution and communication.
Basic Qualifications :
Must have minimum 3 years previous experience in product management, product marketing, data, technology, digital marketing and/or consulting in a related field.
Must have experience with data, including data products such as Data Management Platforms or Data Matching Partners (e.g.: Datalogix, LiveRamp, BlueKai, Adobe, Experian, Facebook, etc.) .
Highly organized, and able to balance multiple projects at once.
Excellent problem-solving, confidence in explaining intricate problems & solutions in a simple way, and able to balance working autonomously as well as cross-functionally.
Curious, passionate and exhibits strong worth ethic.
Required Education :
BA / BS required, preferably with focus in Business, Communication, Advertising, Marketing, Computer Science and/or Engineering.
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
Responsibilities :
Architect and lead the implementation of distributed systems solutions to data engineering problems.
Partner with management in hiring and team building
Analyze business needs, and design and build high-quality solutions
Balance resources, requirements, and complexity
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Basic Qualifications :
We are looking for a seasoned, dynamic engineer who wants to shape the way that a major, fortune 100 entertainment company engages with data analytics. You have shipped millions of lines of code. You have lead teams, in a technical (and maybe managerial) role. You think naturally in terms of tradeoffs between flexibility and simplicity, between usability and security, between timeline, budget, and quality. We are looking for the following in a candidate:
An educational background that has facilitated your technology career--surprise us!
10+ years of professional software experience
Passion for building high-quality software and systems that deliver business value
Passion about system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
You should have some mastery of:
Spark, Hive, Databricks, and other big data technologies
SQL and related tools
Docker and Kubernetes
The AWS environment and toolset
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Distributed systems and API design
Testing practices (unit, integration, performance)
Revision control with git
Preferred Qualifications:
It would be great if you knew anything about:
Kafka and other streaming technologies
Dependency and build tools for continuous integration and deployment
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, Snowflake, and other data warehouse solutions
Tableau, MicroStrategy, d3, and other data visualization tools
It would be cool if you have experience with or interest in:
Data science, statistics, machine learning and other applied mathematics
Data lake implementation and support
GraphQL
DynamoDB or RDS
Aug 02, 2019
Full-time
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
Responsibilities :
Architect and lead the implementation of distributed systems solutions to data engineering problems.
Partner with management in hiring and team building
Analyze business needs, and design and build high-quality solutions
Balance resources, requirements, and complexity
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Basic Qualifications :
We are looking for a seasoned, dynamic engineer who wants to shape the way that a major, fortune 100 entertainment company engages with data analytics. You have shipped millions of lines of code. You have lead teams, in a technical (and maybe managerial) role. You think naturally in terms of tradeoffs between flexibility and simplicity, between usability and security, between timeline, budget, and quality. We are looking for the following in a candidate:
An educational background that has facilitated your technology career--surprise us!
10+ years of professional software experience
Passion for building high-quality software and systems that deliver business value
Passion about system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
You should have some mastery of:
Spark, Hive, Databricks, and other big data technologies
SQL and related tools
Docker and Kubernetes
The AWS environment and toolset
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Distributed systems and API design
Testing practices (unit, integration, performance)
Revision control with git
Preferred Qualifications:
It would be great if you knew anything about:
Kafka and other streaming technologies
Dependency and build tools for continuous integration and deployment
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, Snowflake, and other data warehouse solutions
Tableau, MicroStrategy, d3, and other data visualization tools
It would be cool if you have experience with or interest in:
Data science, statistics, machine learning and other applied mathematics
Data lake implementation and support
GraphQL
DynamoDB or RDS
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world. As part of the Studio’s Technology team you’ll be joining a group of passionate, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry.
Responsibilities :
You will be instrumental in building scalable, extensible, maintainable data ingest, transformation, and reporting tools, infrastructure, and applications. We store, analyze, visualize and report on data for everything from the financial engines that keep the Studio running to consumer applications that touch millions of people.
You will:
Design, build and deliver high-quality data and software tools and solutions
Collaborate with other software engineers and cross-functional teams
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications :
The Walt Disney Studios seeks a Data Engineer to join the Studio Technology Data Services team. This team is a highly visible department that plays an integral part in key business decisions across the Studio organization and the company. We’re seeking the following in a candidate:
An educational background that has enabled your trajectory in technology. Surprise us!
2+ years of professional software experience
Expertise in data analysis and database engineering
Experience in agile software development process
Smart, motivated, and curious about both the technology and the business
Able to demonstrate working knowledge of some:
Java/JVM, Python, SQL, R, Scala
Apache Spark & associated tooling
Data science notebooks (Databricks, Jupyter)
Git, Github, Gitlab
AWS, Terraform
Docker, Kubernetes, Helm
Job Schedulers (Azkaban/Airflow)
Test-driven development
Preferred Qualifications:
It would be cool if you knew and could teach people about:
R, Scala
Kafka, KStreams, KSQL
GraphQL
RDS, DynamoDB
Aug 02, 2019
Full-time
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world. As part of the Studio’s Technology team you’ll be joining a group of passionate, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry.
Responsibilities :
You will be instrumental in building scalable, extensible, maintainable data ingest, transformation, and reporting tools, infrastructure, and applications. We store, analyze, visualize and report on data for everything from the financial engines that keep the Studio running to consumer applications that touch millions of people.
You will:
Design, build and deliver high-quality data and software tools and solutions
Collaborate with other software engineers and cross-functional teams
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications :
The Walt Disney Studios seeks a Data Engineer to join the Studio Technology Data Services team. This team is a highly visible department that plays an integral part in key business decisions across the Studio organization and the company. We’re seeking the following in a candidate:
An educational background that has enabled your trajectory in technology. Surprise us!
2+ years of professional software experience
Expertise in data analysis and database engineering
Experience in agile software development process
Smart, motivated, and curious about both the technology and the business
Able to demonstrate working knowledge of some:
Java/JVM, Python, SQL, R, Scala
Apache Spark & associated tooling
Data science notebooks (Databricks, Jupyter)
Git, Github, Gitlab
AWS, Terraform
Docker, Kubernetes, Helm
Job Schedulers (Azkaban/Airflow)
Test-driven development
Preferred Qualifications:
It would be cool if you knew and could teach people about:
R, Scala
Kafka, KStreams, KSQL
GraphQL
RDS, DynamoDB
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 :
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.
Basic Qualifications :
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
Jul 29, 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 :
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.
Basic Qualifications :
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
The Data Scientist is a critical position within DSS and in the Data organization who specializes in applying machine learning methods to meet optimization, personalization, recommendations and efficiency related challenges, in close collaboration with engineering and business partners. In this role, you will build and apply machine learning techniques and modern statistics to data both augment decision-making but to also significantly improve operational process problems through automation. You will collaborate across teams to define problems and develop automated solutions with the Data, Product and Engineering teams to be built into our products.
Responsibilities :
Reframe objectives as machine learning tasks that can deliver actionable insights, accurate predictions, and effective optimization.
Implement and execute machine learning with reliability and reproducibility.
Explain how models and systems work to both non-technical and technical stakeholders.
Collaborate with engineering teams to build data-based products and help integrate into the products and operational processes.
Process, cleanse, and verify the integrity of data used for analysis.
Enhance data collection procedures to include information that is relevant for creating better ML models.
Create automated anomaly detection systems and constant tracking of its performance .
Basic Qualifications :
Demonstrated ability to present data science results and recommendations to business and technical clients.
3+ years of experience as a Data Scientist in technology sector.
Demonstrated delivery of machine learning techniques in real-time applications.
Expertise in modern statistics/data science/machine learning.
Expertise in a statistical programming language (we use Python and R internally) and data access tools (e.g. SQL).
Experience with deep learning, NLP, Neural Networks, and/or Bayesian modeling.
Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick effective solutions as appropriate
Required Education :
Graduate degree with background in statistics or machine learning.
Jul 29, 2019
Full-time
The Data Scientist is a critical position within DSS and in the Data organization who specializes in applying machine learning methods to meet optimization, personalization, recommendations and efficiency related challenges, in close collaboration with engineering and business partners. In this role, you will build and apply machine learning techniques and modern statistics to data both augment decision-making but to also significantly improve operational process problems through automation. You will collaborate across teams to define problems and develop automated solutions with the Data, Product and Engineering teams to be built into our products.
Responsibilities :
Reframe objectives as machine learning tasks that can deliver actionable insights, accurate predictions, and effective optimization.
Implement and execute machine learning with reliability and reproducibility.
Explain how models and systems work to both non-technical and technical stakeholders.
Collaborate with engineering teams to build data-based products and help integrate into the products and operational processes.
Process, cleanse, and verify the integrity of data used for analysis.
Enhance data collection procedures to include information that is relevant for creating better ML models.
Create automated anomaly detection systems and constant tracking of its performance .
Basic Qualifications :
Demonstrated ability to present data science results and recommendations to business and technical clients.
3+ years of experience as a Data Scientist in technology sector.
Demonstrated delivery of machine learning techniques in real-time applications.
Expertise in modern statistics/data science/machine learning.
Expertise in a statistical programming language (we use Python and R internally) and data access tools (e.g. SQL).
Experience with deep learning, NLP, Neural Networks, and/or Bayesian modeling.
Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick effective solutions as appropriate
Required Education :
Graduate degree with background in statistics or machine learning.
Data Scientists in the Disney+ Content Analytics team are the insights and modeling partner for the Disney+ studio content team. They focus on informing content decisions for Disney+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations. Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
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.
Work with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
6+ years of analytical experience.
4+ years work experience using SQL
3+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
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.
Advanced degree in an analytical field or equivalent experience
Jul 29, 2019
Full-time
Data Scientists in the Disney+ Content Analytics team are the insights and modeling partner for the Disney+ studio content team. They focus on informing content decisions for Disney+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations. Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
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.
Work with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
6+ years of analytical experience.
4+ years work experience using SQL
3+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
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.
Advanced degree in an analytical field or equivalent experience
At The Walt Disney Studios, you’ll help bring compelling stories to life through film, music and live entertainment. We tell stories. We tell amazing stories. We blow minds. We don’t just want to dominate the silver screen, we want to dominate the conversation. We’re Disney Studios we own brands like Marvel, LucasFilm, Pixar, Disney Animation, Disney Nature and Hollywood Records. We’d like you to join the Disney Studio Data Services team and make the magic happen through a different kind of story. Our story starts with a team, innovation and ambition. We’re starting by disrupting the status quo, by approaching problems using bleeding-edge technologies, a lean culture, and a thirst for knowledge. We can do it all. This is only the beginning of our story, join us for the rest. Data help drive our business at Disney Studios. Marketing teams need the right data signals to market the right event to the right fan at the right time. Product and business leads need easy access to key metrics to measure the health of their business. We are constantly building new products that rely on data to power user experiences, and these products in-turn generate new, valuable data. With so much of our business depending on the comprehensiveness, availability, and accuracy of data, it is critical that Disney Studios have the right team in place to manage it. We are looking for a seasoned leader to help drive our organizational discipline around Data Services. This leader be responsible for ensuring Disney Studio’s core data systems are meeting the needs of the business. This team will have a hand in strategy, requirements definition and prioritization for Data Ingestion, Data Accessibility, and Business Intelligence. Our data services organization won’t just build data products. This team is the bridge between the business needs and our technical capabilities. We’ll create a data-ecosystem that puts the data/business user first, anticipates needs, and gets ahead of how a user might access data to create data services that empower teams to unleash their full potential.
Responsibilities :
Lead the Data Ingestion team managing business requirements and prioritization of data being collected from source systems for Marketing, Product, and Business Intelligence uses. Works closely with Source Product and Engineering teams as well as business stakeholders.
Lead the Business Intelligence development team managing internal BI tool strategy. This team’s core mission is to ensure the comprehensiveness and usability of the BI tools and the data available within.
Define and maintain overall Data Services strategy and roadmap. Managing Data Services Project Management and Engineering leads. Prioritize team efforts to deliver incremental near-term value while working toward long term vision.
Partner with Engineering, Privacy, and Compliance Leads to ensure Data Services systems meet all privacy and security requirements
Regularly communicate product roadmap and status of key initiatives to internal stakeholders and executives.
Partner with leaders across the lines of business to ensure Data Services team is a consistent thought partner in servicing the various data needs within the organization.
Establish Product Management best practices within the team, building an organization focused on thoughtfully delivering business value.
Define, track and improve key metrics and success criteria for major data services initiatives.
Basic Qualifications :
15+ years of experience leading development and successful launch of back-end data services and/or data-centric business applications
5+ years of data domain technology experience
Ability to prioritize among competing opportunities, balance internal client needs with business priorities, and articulate the rationale behind decisions
5+ years of working in an agile environment
Creative, collaborative thinker with an ability to learn new things, assess problems and identify proactive solutions quickly
Self-starter, comfortable leading change and getting things done.
Preferred Qualifications:
Experience with data analytics or business intelligence platforms preferred
Required Education :
Bachelor’s degree, with equivalent work experience
Jul 29, 2019
Full-time
At The Walt Disney Studios, you’ll help bring compelling stories to life through film, music and live entertainment. We tell stories. We tell amazing stories. We blow minds. We don’t just want to dominate the silver screen, we want to dominate the conversation. We’re Disney Studios we own brands like Marvel, LucasFilm, Pixar, Disney Animation, Disney Nature and Hollywood Records. We’d like you to join the Disney Studio Data Services team and make the magic happen through a different kind of story. Our story starts with a team, innovation and ambition. We’re starting by disrupting the status quo, by approaching problems using bleeding-edge technologies, a lean culture, and a thirst for knowledge. We can do it all. This is only the beginning of our story, join us for the rest. Data help drive our business at Disney Studios. Marketing teams need the right data signals to market the right event to the right fan at the right time. Product and business leads need easy access to key metrics to measure the health of their business. We are constantly building new products that rely on data to power user experiences, and these products in-turn generate new, valuable data. With so much of our business depending on the comprehensiveness, availability, and accuracy of data, it is critical that Disney Studios have the right team in place to manage it. We are looking for a seasoned leader to help drive our organizational discipline around Data Services. This leader be responsible for ensuring Disney Studio’s core data systems are meeting the needs of the business. This team will have a hand in strategy, requirements definition and prioritization for Data Ingestion, Data Accessibility, and Business Intelligence. Our data services organization won’t just build data products. This team is the bridge between the business needs and our technical capabilities. We’ll create a data-ecosystem that puts the data/business user first, anticipates needs, and gets ahead of how a user might access data to create data services that empower teams to unleash their full potential.
Responsibilities :
Lead the Data Ingestion team managing business requirements and prioritization of data being collected from source systems for Marketing, Product, and Business Intelligence uses. Works closely with Source Product and Engineering teams as well as business stakeholders.
Lead the Business Intelligence development team managing internal BI tool strategy. This team’s core mission is to ensure the comprehensiveness and usability of the BI tools and the data available within.
Define and maintain overall Data Services strategy and roadmap. Managing Data Services Project Management and Engineering leads. Prioritize team efforts to deliver incremental near-term value while working toward long term vision.
Partner with Engineering, Privacy, and Compliance Leads to ensure Data Services systems meet all privacy and security requirements
Regularly communicate product roadmap and status of key initiatives to internal stakeholders and executives.
Partner with leaders across the lines of business to ensure Data Services team is a consistent thought partner in servicing the various data needs within the organization.
Establish Product Management best practices within the team, building an organization focused on thoughtfully delivering business value.
Define, track and improve key metrics and success criteria for major data services initiatives.
Basic Qualifications :
15+ years of experience leading development and successful launch of back-end data services and/or data-centric business applications
5+ years of data domain technology experience
Ability to prioritize among competing opportunities, balance internal client needs with business priorities, and articulate the rationale behind decisions
5+ years of working in an agile environment
Creative, collaborative thinker with an ability to learn new things, assess problems and identify proactive solutions quickly
Self-starter, comfortable leading change and getting things done.
Preferred Qualifications:
Experience with data analytics or business intelligence platforms preferred
Required Education :
Bachelor’s degree, with equivalent work experience
Disney Parks is growing its consumer-centric marketing team, who are responsible for audience planning, targeting and media buying. This innovative and growth-oriented business unit at Disney Parks is investing in data-driven talent to drive audience engagement and core business objectives. As a key player on Disney Parks’ Audience Team, the Customer Engagement Manager for Audience Strategy will use Disney Park’s Data Management Platform (DMP) to gather and create audience segments for audience targeting and insights. He or She will partner with the Media Planning team to understand core audiences for our media campaigns, estimate the size and available reach of those audiences within paid platforms, and then group those audiences into segments in the DMP. He or she will help drive data acquisition, audience modeling, and overall audience targeting strategy across multiple platforms. We are looking for puzzle solvers and pattern finders with an ability to use marketing technology on a daily basis. We require big data enthusiasts who love storytelling and can wear many hats when needed. This role spans diverse brand needs and across all the programmatic disciplines in which we are investing.
Responsibilities :
Using state-of-the-art planning and targeting tools and interfaces. This is a hands-on keyboard role where big data is used to discover audiences and to target them across all relevant digital channels
Fulfilling audience creation requests and maintaining an organized and usable database of target audiences
Developing audience models and scores in partnership with media agencies and internal analytics teams
Coordinating regularly with Media Planning to receive requests and provide feedback on targeting performance
Providing input on methodology to create statistically significant and actionable test plans
Interacting with multiple partners and continually collaborating across the marketing organization to promote audience-centric thinking and knowledge sharing
Understanding performance objectives and develop successful strategies to meet them
Keeping daily tabs on industry trends and serve as a subject matter expert by informing wider team
Basic Qualifications :
Data-driven with demonstrable skills with Data Management Platforms (DMP) such as BlueKai, Krux, Coreaudience, or Adobe Audience Manager
Knowledge in buying 1st and 3rd party audience data, or an industry-level understanding of data partnerships in the programmatic space
Hands-on experience with Audience Insights platforms such as Facebook Audience Insights, Twitter Audience Insights, Yahoo Audience Insights, etc., with an ability to provide valuable and actionable strategic recommendations and insights
Experience leveraging Demand Side Platforms (DSP) such as DBM, AOP, Turn, Facebook, ad serving, and/or digital bid management systems
5+ years in digital media planning, activation, or online media management with at least one year in programmatic advertising or precision marketing
Ability to perform data collection and data mining, as well as build state-of-the-art decision science algorithms, tools and systems
High familiarity with consumer media consumption habits and a drive to push audience-centric digital campaigns
Required Education :
Bachelor’s Degree in Business, Communications, Psychology, Statistics or other quantitative field
Jul 29, 2019
Full-time
Disney Parks is growing its consumer-centric marketing team, who are responsible for audience planning, targeting and media buying. This innovative and growth-oriented business unit at Disney Parks is investing in data-driven talent to drive audience engagement and core business objectives. As a key player on Disney Parks’ Audience Team, the Customer Engagement Manager for Audience Strategy will use Disney Park’s Data Management Platform (DMP) to gather and create audience segments for audience targeting and insights. He or She will partner with the Media Planning team to understand core audiences for our media campaigns, estimate the size and available reach of those audiences within paid platforms, and then group those audiences into segments in the DMP. He or she will help drive data acquisition, audience modeling, and overall audience targeting strategy across multiple platforms. We are looking for puzzle solvers and pattern finders with an ability to use marketing technology on a daily basis. We require big data enthusiasts who love storytelling and can wear many hats when needed. This role spans diverse brand needs and across all the programmatic disciplines in which we are investing.
Responsibilities :
Using state-of-the-art planning and targeting tools and interfaces. This is a hands-on keyboard role where big data is used to discover audiences and to target them across all relevant digital channels
Fulfilling audience creation requests and maintaining an organized and usable database of target audiences
Developing audience models and scores in partnership with media agencies and internal analytics teams
Coordinating regularly with Media Planning to receive requests and provide feedback on targeting performance
Providing input on methodology to create statistically significant and actionable test plans
Interacting with multiple partners and continually collaborating across the marketing organization to promote audience-centric thinking and knowledge sharing
Understanding performance objectives and develop successful strategies to meet them
Keeping daily tabs on industry trends and serve as a subject matter expert by informing wider team
Basic Qualifications :
Data-driven with demonstrable skills with Data Management Platforms (DMP) such as BlueKai, Krux, Coreaudience, or Adobe Audience Manager
Knowledge in buying 1st and 3rd party audience data, or an industry-level understanding of data partnerships in the programmatic space
Hands-on experience with Audience Insights platforms such as Facebook Audience Insights, Twitter Audience Insights, Yahoo Audience Insights, etc., with an ability to provide valuable and actionable strategic recommendations and insights
Experience leveraging Demand Side Platforms (DSP) such as DBM, AOP, Turn, Facebook, ad serving, and/or digital bid management systems
5+ years in digital media planning, activation, or online media management with at least one year in programmatic advertising or precision marketing
Ability to perform data collection and data mining, as well as build state-of-the-art decision science algorithms, tools and systems
High familiarity with consumer media consumption habits and a drive to push audience-centric digital campaigns
Required Education :
Bachelor’s Degree in Business, Communications, Psychology, Statistics or other quantitative field
Direct-to-Consumer-and-International (DTCI) is Disney’s global, multiplatform media, product, technology, and distribution organization for world-class content. DTCI is comprised of Disney’s international media and direct-to-consumer businesses globally, including all Disney networks outside of the US, the ESPN+ streaming service, the upcoming Disney-branded direct-to-consumer streaming service and the Company’s ownership stake in Hulu. The DTCI Tech organization focuses on providing ground-breaking innovation and driving the strategic use and development of technology to power the DTCI business, deliver world-class products and experiences to consumers around the world. The Data Platform group within DTCI Tech, is charged with developing a consolidated data platform that supports DTCI business stakeholders with the means to access, activate and analyze all of Disney’s consumer data in a secure and compliant way. The Sr Product Manager, Self-Serve Identity & Analytics role will focus on enabling analytics solutions and interfaces that service from the data platform to direct stakeholders across DTCI. You provide intake, review, and roadmaps to service the products to stakeholder requirements. You are the connective tissue between the business intelligence needs and the data platform. You will also inform the platform strategy to enable speed to market through POCs as well as execution and launch of integrated analytics solutions for business units. You should also be familiar with identity resolution efforts and the variety of compliance and privacy efforts in the marketplace. You must be an analytical, articulate, and business-minded, capable of setting strategic priorities, executing tactically and communicating effectively to stakeholders at senior and peer levels throughout the course of a product lifecycle.
Responsibilities :
Manage roadmap and pipeline of all dependent analytics systems across data platform.
Develop new and custom analytics and business intelligence solutions from data platform.
Manage identity graphing efforts with internal data science teams.
Coordinate with stakeholders and product marketing to ensure proper requirements.
Manage identity vendor and technology.
Basic Qualifications :
Must have minimum 5 years previous experience in data analytics, business reporting, business intelligence, data technology and/or consulting in a related field.
Must have familiarity with big data processing (Snowflake, Redshift, etc.), business intelligence solutions (e.g. Looker, DOMO, etc.), and measurement solutions (Adobe, Localytics, etc.).
Familiarity with API and data deployment mechanisms.
Familiarity with identity reconciliation processes both internally developed and vendor developed.
Demonstrated experience with running complex projects across a matrixed organization.
Required Education :
Bachelors
Jul 29, 2019
Full-time
Direct-to-Consumer-and-International (DTCI) is Disney’s global, multiplatform media, product, technology, and distribution organization for world-class content. DTCI is comprised of Disney’s international media and direct-to-consumer businesses globally, including all Disney networks outside of the US, the ESPN+ streaming service, the upcoming Disney-branded direct-to-consumer streaming service and the Company’s ownership stake in Hulu. The DTCI Tech organization focuses on providing ground-breaking innovation and driving the strategic use and development of technology to power the DTCI business, deliver world-class products and experiences to consumers around the world. The Data Platform group within DTCI Tech, is charged with developing a consolidated data platform that supports DTCI business stakeholders with the means to access, activate and analyze all of Disney’s consumer data in a secure and compliant way. The Sr Product Manager, Self-Serve Identity & Analytics role will focus on enabling analytics solutions and interfaces that service from the data platform to direct stakeholders across DTCI. You provide intake, review, and roadmaps to service the products to stakeholder requirements. You are the connective tissue between the business intelligence needs and the data platform. You will also inform the platform strategy to enable speed to market through POCs as well as execution and launch of integrated analytics solutions for business units. You should also be familiar with identity resolution efforts and the variety of compliance and privacy efforts in the marketplace. You must be an analytical, articulate, and business-minded, capable of setting strategic priorities, executing tactically and communicating effectively to stakeholders at senior and peer levels throughout the course of a product lifecycle.
Responsibilities :
Manage roadmap and pipeline of all dependent analytics systems across data platform.
Develop new and custom analytics and business intelligence solutions from data platform.
Manage identity graphing efforts with internal data science teams.
Coordinate with stakeholders and product marketing to ensure proper requirements.
Manage identity vendor and technology.
Basic Qualifications :
Must have minimum 5 years previous experience in data analytics, business reporting, business intelligence, data technology and/or consulting in a related field.
Must have familiarity with big data processing (Snowflake, Redshift, etc.), business intelligence solutions (e.g. Looker, DOMO, etc.), and measurement solutions (Adobe, Localytics, etc.).
Familiarity with API and data deployment mechanisms.
Familiarity with identity reconciliation processes both internally developed and vendor developed.
Demonstrated experience with running complex projects across a matrixed organization.
Required Education :
Bachelors
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Data Scientist to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role the Data Scientist will leverage multiple statistical and machine learning methodologies to influence decisions and action planning, with focus on media mix modeling, LTV, and model development for segmentation and targeting customers. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
Reframe business objectives and questions as statistical and analytics tasks that can deliver actionable insights, create accurate predictions, and drive effective optimization
Process, cleanse, validate and integrate data from different sources for reporting, analyses, model building and data visualization
Build predictive models and algorithms to effectively measure and optimize business performance, including media mix and LTV models, and models for customer segmentation and targeting, including churn and propensity models
Collaborate with data engineers to build data pipelines that drive downstream workflow
Analyze large and complex consumer behavior data to identify patterns and uncover opportunities related to how guests are interacting with shopDisney.com, Disney Stores, and retail subscription businesses
Develop and deliver action-oriented, insightful analytic presentations that provide consultative direction to key stakeholders
Monitor trends in data science and alternative sources to ensure the use of best in class tools and techniques
Basic Qualifications :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
4+ years of professional data science/analytical experience
4+ years of professional experience using data-building and statistical programming languages: SAS, Python, R, SQL, etc.
Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multi-variate regression analysis, machine learning, forecasting, Bayesian estimation)
Experience with data exploration utilizing data visualization tools (e.g. Tableau, PowerBI, Pandas, ggplot2, Plotly)
Ability to think strategically, including interpreting market and consumer information
Strong communication skills
Ability to simplify highly complex analyses into terms that are easily accessible and impactful for both written and verbal formats
Demonstrated ability to present data science results and actionable recommendations to business and technical clients
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Experience in media mix modeling, lifetime value analysis, and segmentation strongly preferred
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Experience creating and delivering analytic widgets, such as R-Shiny apps
Knowledge and professional application of machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.) and modern deep learning techniques (PyTorch, Keras/Tensorflow) is a plus
Required Education :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
Preferred Education :
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Jul 29, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Data Scientist to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role the Data Scientist will leverage multiple statistical and machine learning methodologies to influence decisions and action planning, with focus on media mix modeling, LTV, and model development for segmentation and targeting customers. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
Reframe business objectives and questions as statistical and analytics tasks that can deliver actionable insights, create accurate predictions, and drive effective optimization
Process, cleanse, validate and integrate data from different sources for reporting, analyses, model building and data visualization
Build predictive models and algorithms to effectively measure and optimize business performance, including media mix and LTV models, and models for customer segmentation and targeting, including churn and propensity models
Collaborate with data engineers to build data pipelines that drive downstream workflow
Analyze large and complex consumer behavior data to identify patterns and uncover opportunities related to how guests are interacting with shopDisney.com, Disney Stores, and retail subscription businesses
Develop and deliver action-oriented, insightful analytic presentations that provide consultative direction to key stakeholders
Monitor trends in data science and alternative sources to ensure the use of best in class tools and techniques
Basic Qualifications :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
4+ years of professional data science/analytical experience
4+ years of professional experience using data-building and statistical programming languages: SAS, Python, R, SQL, etc.
Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multi-variate regression analysis, machine learning, forecasting, Bayesian estimation)
Experience with data exploration utilizing data visualization tools (e.g. Tableau, PowerBI, Pandas, ggplot2, Plotly)
Ability to think strategically, including interpreting market and consumer information
Strong communication skills
Ability to simplify highly complex analyses into terms that are easily accessible and impactful for both written and verbal formats
Demonstrated ability to present data science results and actionable recommendations to business and technical clients
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
Experience in media mix modeling, lifetime value analysis, and segmentation strongly preferred
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Experience creating and delivering analytic widgets, such as R-Shiny apps
Knowledge and professional application of machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.) and modern deep learning techniques (PyTorch, Keras/Tensorflow) is a plus
Required Education :
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering
Preferred Education :
Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video CTV and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications:
Experience in the streaming media industry or other subscription-based service
Python or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Jul 29, 2019
Full-time
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video CTV and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications:
Experience in the streaming media industry or other subscription-based service
Python or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
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 :
5+ years of experience in data analytics
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.
Jul 29, 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 :
5+ years of experience in data analytics
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.
The Merchandise Experience Planning & Integration team is seeking multiple highly motivated, retail analysts/seniors with strong data science backgrounds who will conduct business analysis and clearly articulate recommendations to help drive improvements to the guest experience and the overall business. They will be accountable for consulting with Disney’s Theme Park Merchandise (DTPM) business partners to assess and address information needs, and for managing, analyzing and synthesizing analytics and insights to influence decisions and action planning. They will lead analytic efforts related to demand forecasting, customer segmentation, product affinity modeling, assortment optimization, demand transference and various other areas to help drive our businesses. They will operate across a highly-matrixed, multinational organization and help drive the organization's strategic advantage through more in-depth analysis of structured and unstructured data available across DTPM. Candidates should have an inherent passion for data and data driven thinking and be adept at extracting patterns from volumes of data to drive strategy and operational efficiencies. We will be considering talent to fill Scientist and Sr. Scientist level positions. Both will report to the Manager-Merchandise Business Intelligence.
Responsibilities:
Support development of the advanced analytics practice: Develop best in class advanced analytics practice for DTPM and drive analytic culture across the planning and product development teams.
Support BI Reporting: In collaboration with leadership, support the development of Business Intelligence (BI) dashboards to highlight key performance indicators (KPI) across franchises, locations and channels. Work will include multi-source data integration and development in BI tools (Business Objects, Tableau, Teradata, MSSQL).
Data Infrastructure: In collaboration with infrastructure in IT teams, make recommendations for data architecture strategy.
Tool Assessment: Develop and deploy analytical tools and data science techniques to analyze complex data sets.
Monitor trends in data science and alternative sources to ensure that DTPM is in tune with best in class tools and techniques.
Basic Qualifications:
Demonstrated in-depth understanding of the retail industry
Three plus years of retail specific experience in analytics, insights, competitive intelligence, market research, or other similar function with demonstrated ability to manage in a complex environment with multiple constituencies
Deep expertise in complex modeling and analytical methodology including, but not exclusively, longitudinal analyses, multi-level modeling and multivariate analyses of variance
Strong knowledge of databases, database architecture, data warehouses, and ETL processes
Experience using analysis tools such as SQL, SAS, Tableau, and R
Ability to influence and work through others to effectively navigate matrixed organization while ensuring that necessary stakeholders are informed
Ability to simplify highly complex analyses and output into terms that are easily accessible and impactful in both written and verbal formats
Familiarity and experience with data visualization and executive communication
Future-oriented thinker with expertise in external practices and trends
High level of analytical and negotiating skills as evidenced by high intelligence, strong financial and analytical capabilities and the proven ability to develop, sell and drive suitable partnerships, alliances, or other transactions to closure
Strong sense of responsibility, ownership and pride in delivering quality results, and understanding the business impacts
Preferred Qualifications:
Seven plus years of experience in market research, insights, analytics, competitive intelligence or other similar function with demonstrated ability to manage in a complex environment with multiple constituencies (retail specific experience preferred)
Ability to lead small teams
Experience with Tableau
High proficiency with SQL and Microsoft SSIS Packages
Understanding of and experience with standard retail data warehouses
Machine Learning application and experience
AI assisted data analysis
Good sense of graphic / visual design
Required Education:
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, or equivalent experience
Preferred Education:
Master’s degree
Additional Information:
We strongly encourage applicants to upload a copy of their resume and to print a copy of this role description so they can refer to it in the event they are selected for an interview.
Jul 29, 2019
Full-time
The Merchandise Experience Planning & Integration team is seeking multiple highly motivated, retail analysts/seniors with strong data science backgrounds who will conduct business analysis and clearly articulate recommendations to help drive improvements to the guest experience and the overall business. They will be accountable for consulting with Disney’s Theme Park Merchandise (DTPM) business partners to assess and address information needs, and for managing, analyzing and synthesizing analytics and insights to influence decisions and action planning. They will lead analytic efforts related to demand forecasting, customer segmentation, product affinity modeling, assortment optimization, demand transference and various other areas to help drive our businesses. They will operate across a highly-matrixed, multinational organization and help drive the organization's strategic advantage through more in-depth analysis of structured and unstructured data available across DTPM. Candidates should have an inherent passion for data and data driven thinking and be adept at extracting patterns from volumes of data to drive strategy and operational efficiencies. We will be considering talent to fill Scientist and Sr. Scientist level positions. Both will report to the Manager-Merchandise Business Intelligence.
Responsibilities:
Support development of the advanced analytics practice: Develop best in class advanced analytics practice for DTPM and drive analytic culture across the planning and product development teams.
Support BI Reporting: In collaboration with leadership, support the development of Business Intelligence (BI) dashboards to highlight key performance indicators (KPI) across franchises, locations and channels. Work will include multi-source data integration and development in BI tools (Business Objects, Tableau, Teradata, MSSQL).
Data Infrastructure: In collaboration with infrastructure in IT teams, make recommendations for data architecture strategy.
Tool Assessment: Develop and deploy analytical tools and data science techniques to analyze complex data sets.
Monitor trends in data science and alternative sources to ensure that DTPM is in tune with best in class tools and techniques.
Basic Qualifications:
Demonstrated in-depth understanding of the retail industry
Three plus years of retail specific experience in analytics, insights, competitive intelligence, market research, or other similar function with demonstrated ability to manage in a complex environment with multiple constituencies
Deep expertise in complex modeling and analytical methodology including, but not exclusively, longitudinal analyses, multi-level modeling and multivariate analyses of variance
Strong knowledge of databases, database architecture, data warehouses, and ETL processes
Experience using analysis tools such as SQL, SAS, Tableau, and R
Ability to influence and work through others to effectively navigate matrixed organization while ensuring that necessary stakeholders are informed
Ability to simplify highly complex analyses and output into terms that are easily accessible and impactful in both written and verbal formats
Familiarity and experience with data visualization and executive communication
Future-oriented thinker with expertise in external practices and trends
High level of analytical and negotiating skills as evidenced by high intelligence, strong financial and analytical capabilities and the proven ability to develop, sell and drive suitable partnerships, alliances, or other transactions to closure
Strong sense of responsibility, ownership and pride in delivering quality results, and understanding the business impacts
Preferred Qualifications:
Seven plus years of experience in market research, insights, analytics, competitive intelligence or other similar function with demonstrated ability to manage in a complex environment with multiple constituencies (retail specific experience preferred)
Ability to lead small teams
Experience with Tableau
High proficiency with SQL and Microsoft SSIS Packages
Understanding of and experience with standard retail data warehouses
Machine Learning application and experience
AI assisted data analysis
Good sense of graphic / visual design
Required Education:
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, or equivalent experience
Preferred Education:
Master’s degree
Additional Information:
We strongly encourage applicants to upload a copy of their resume and to print a copy of this role description so they can refer to it in the event they are selected for an interview.
