Disney Direct to Consumer
Data Analyst
Disney Direct to Consumer, New York, New York, us, 10261
The Direct to Consumer Data and Analytics organization is seeking a Data Analyst who will be an exceptional addition to our Strategy and Forecasting Data Team. As a Data Analyst, you will join our team that applies analytical rigor to optimize our strategic decision based on utilizing decision and data science principles. Projects include content portfolio, merchandising, acquisition & licensing, and release strategy optimization.The right person for this role has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a strong communicator, and is passionate about television and movie content. If you are someone who gains personal satisfaction from utilizing data to drive business decisions and you’re eager to learn, then this is a great role for you.
ResponsibilitiesApply data science techniques (data mining, data visualization, statistical analysis, causal inference, regression, machine learning, time-series forecasting) to large-scale, high-dimensional data in order to inform global business decisions
Analyze customer behavior (e.g., genre preferences, viewing patterns) to identify unmet customer needs and untapped content opportunities
Use advanced causal inference methodologies to quantify engagement and overall impact of sharing title licenses with internal and external platforms
Predict content engagement to help guide content acquisition decisions
Optimize our content launch and episode release strategy
Test merchandising strategies to optimize engagement and retention
Ideate and develop new metrics and KPIs, measuring content performance, engagement and churn for strategic decision-making
Support complex projects, workstreams, and new initiatives & capabilities. This includes supporting the scoping out the breadth and depth of a project, helping manage the time and resources available, adapting plans to meet evolving needs & operational challenges, and representing the product with business partners and executive leadership
Maintain relationships with stakeholders while understanding their needs and providing them with rapid and robust solutions to their requests
Provide ad-hoc analysis support for stakeholders to help move the business forward
Effectively communicate actionable results through compelling data storytelling across the organization
Basic Qualifications
Bachelor’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science or related quantitative field
3+ years of analytical experience
3+ years of experience developing machine learning models and performing data analysis with Python and/or R
3+ years of experience querying cloud-hosted databases with SQL
Experience with statistical analysis and machine learning techniques: time-series forecasting, causal inference, regression, clustering, etc.
Demonstrated ability working independently and applying creativity in solving open-ended problems
Outstanding data storytelling skills through verbal, written, and visual communication
Familiarity with data exploration and data visualization tools such as Looker or Tableau
Ability to explain how models are used and how algorithms behave to both technical and non-technical audiences
Experience engineering, deploying, and maintaining data solutions using technologies like Databricks, S3, and Spark
Preferred Qualifications
Master’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science or related quantitative field
A passion for Media and Entertainment
The role can be based out of New York (NY), Santa Monica (CA), San Francisco (CA), Seattle (WA), or Morrisville (NC).The hiring range for this position in New York, NY is $98,000 to $131,300 per year and in Santa Monica, CA is $93,400 to $125,200 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
ResponsibilitiesApply data science techniques (data mining, data visualization, statistical analysis, causal inference, regression, machine learning, time-series forecasting) to large-scale, high-dimensional data in order to inform global business decisions
Analyze customer behavior (e.g., genre preferences, viewing patterns) to identify unmet customer needs and untapped content opportunities
Use advanced causal inference methodologies to quantify engagement and overall impact of sharing title licenses with internal and external platforms
Predict content engagement to help guide content acquisition decisions
Optimize our content launch and episode release strategy
Test merchandising strategies to optimize engagement and retention
Ideate and develop new metrics and KPIs, measuring content performance, engagement and churn for strategic decision-making
Support complex projects, workstreams, and new initiatives & capabilities. This includes supporting the scoping out the breadth and depth of a project, helping manage the time and resources available, adapting plans to meet evolving needs & operational challenges, and representing the product with business partners and executive leadership
Maintain relationships with stakeholders while understanding their needs and providing them with rapid and robust solutions to their requests
Provide ad-hoc analysis support for stakeholders to help move the business forward
Effectively communicate actionable results through compelling data storytelling across the organization
Basic Qualifications
Bachelor’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science or related quantitative field
3+ years of analytical experience
3+ years of experience developing machine learning models and performing data analysis with Python and/or R
3+ years of experience querying cloud-hosted databases with SQL
Experience with statistical analysis and machine learning techniques: time-series forecasting, causal inference, regression, clustering, etc.
Demonstrated ability working independently and applying creativity in solving open-ended problems
Outstanding data storytelling skills through verbal, written, and visual communication
Familiarity with data exploration and data visualization tools such as Looker or Tableau
Ability to explain how models are used and how algorithms behave to both technical and non-technical audiences
Experience engineering, deploying, and maintaining data solutions using technologies like Databricks, S3, and Spark
Preferred Qualifications
Master’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science or related quantitative field
A passion for Media and Entertainment
The role can be based out of New York (NY), Santa Monica (CA), San Francisco (CA), Seattle (WA), or Morrisville (NC).The hiring range for this position in New York, NY is $98,000 to $131,300 per year and in Santa Monica, CA is $93,400 to $125,200 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.