Disney Direct to Consumer
Sr Data Analyst
Disney Direct to Consumer, New York, New York, United States, 10012
Sr Data Analyst at Disney Direct to Consumer summary:
The Senior Data Analyst leverages advanced analytics techniques to optimize strategic business decisions in the Direct to Consumer Data & Analytics organization. This role involves analyzing customer behavior, predicting content engagement, and optimizing release strategies, while communicating actionable insights through data storytelling. The ideal candidate possesses a strong background in data science, machine learning, and statistical analysis, and is passionate about utilizing data to drive decisions in the media and entertainment sector.
ABOUT THE ROLE
The
Direct to Consumer
Data & Analytics organization is seeking a Senior Decision Analyst who will be an exceptional addition to our Strategic Forecasting & Decision Analytics team. As Sr. Decision Analyst, you will join our team that applies analytical rigor to
optimize
strategic decisions based on decision and data science principles. Projects include strategic decision support, content portfolio management, merchandising, acquisition & licensing, release strategy optimization, and churn & subscriber health. 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 film. We are searching for someone who gains personal satisfaction from
utilizing
data to drive business decisions and is eager to learn.
Responsibilities
Apply advanced analytics 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 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 scoping out the breadth & depth of a project, helping manage the time & resources available, adapting plans to meet evolving needs and 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, Applied
Economics
or related quantitative field
5+ years of analytical experience
5+ years of experience developing machine learning models and performing data analysis with Python and/or R
5+ years of experience querying cloud-hosted databases with SQL
Experience with statistical analysis and machine learning techniques: time-series forecasting, causal inference, regression, decision trees, clustering, etc.
Demonstrated ability to work independently and apply 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, Tableau, or
JupyterLab
/Notebook
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 of Science degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science, Applied
Economics
or related quantitative field
A passion for media and entertainment
ADDITIONAL INFORMATION
#DISNEYTECH
The hiring range for this position in Santa Monica, CA is $114,900 to $154,100 per year, in New York, NY is $120,300 to $161,300 per year, and in San Francisco, CA is $125,800 to $168,700 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.
Keywords: Data Analyst, Machine Learning, Data Science, Predictive Analytics, Statistical Analysis, Content Strategy, Customer Behavior, Media Analytics, Data Visualization, Business Intelligence
ABOUT THE ROLE
The
Direct to Consumer
Data & Analytics organization is seeking a Senior Decision Analyst who will be an exceptional addition to our Strategic Forecasting & Decision Analytics team. As Sr. Decision Analyst, you will join our team that applies analytical rigor to
optimize
strategic decisions based on decision and data science principles. Projects include strategic decision support, content portfolio management, merchandising, acquisition & licensing, release strategy optimization, and churn & subscriber health. 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 film. We are searching for someone who gains personal satisfaction from
utilizing
data to drive business decisions and is eager to learn.
Responsibilities
Apply advanced analytics 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 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 scoping out the breadth & depth of a project, helping manage the time & resources available, adapting plans to meet evolving needs and 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, Applied
Economics
or related quantitative field
5+ years of analytical experience
5+ years of experience developing machine learning models and performing data analysis with Python and/or R
5+ years of experience querying cloud-hosted databases with SQL
Experience with statistical analysis and machine learning techniques: time-series forecasting, causal inference, regression, decision trees, clustering, etc.
Demonstrated ability to work independently and apply 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, Tableau, or
JupyterLab
/Notebook
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 of Science degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science, Applied
Economics
or related quantitative field
A passion for media and entertainment
ADDITIONAL INFORMATION
#DISNEYTECH
The hiring range for this position in Santa Monica, CA is $114,900 to $154,100 per year, in New York, NY is $120,300 to $161,300 per year, and in San Francisco, CA is $125,800 to $168,700 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.
Keywords: Data Analyst, Machine Learning, Data Science, Predictive Analytics, Statistical Analysis, Content Strategy, Customer Behavior, Media Analytics, Data Visualization, Business Intelligence