Job Posting Title:
Sr Data AnalystReq ID:
10108256Job Description:
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
Job Posting Segment:
Direct to ConsumerJob Posting Primary Business:
DTC Analytics and Data SciencePrimary Job Posting Category:
Tech Data AnalyticsEmployment Type:
Full timePrimary City, State, Region, Postal Code:
Santa Monica, CA, USAAlternate City, State, Region, Postal Code:
USA - CA - Market St, USA - NY - 7 Hudson SquareDate Posted:
2024-12-230 applies
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