Apply advanced analytics techniques (data mining, data visualization, statistical analysis, causal inference, regression, machine learning, time-series forecasting) to large-scale, high-dimensional data 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 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, including scoping projects, managing time & resources, and representing the product with business partners and executive leadership
Maintain relationships with stakeholders and provide rapid, robust solutions and ad-hoc analysis support
Effectively communicate actionable results through compelling data storytelling across the organization
Requirements
Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Applied Economics, or a related field
3+ years of experience in analytics, machine learning model development, and data analysis using Python and/or R
Proficient in querying cloud-hosted databases with SQL and engineering data solutions using technologies like Databricks, S3, and Spark
Applied expertise in observational causal inference methods (e.g., difference-in-difference, propensity score matching) for non-experimental settings
Skilled in statistical and machine learning techniques including time-series forecasting, regression, decision trees, and clustering
Strong data storytelling abilities across verbal, written, and visual formats
Effective communicator with both technical and non-technical audiences, capable of explaining model behavior and algorithmic decisions
Familiar with data exploration and visualization tools such as Looker, Tableau, and JupyterLab/Notebook
Demonstrated independence and creativity in solving open-ended problems
Nice-to-haves: Master of Science degree in related field; a passion for media and entertainment
Benefits
Primarily On-Site / Occasionally from Home
A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits (dependent on the level and position offered)
Data Analyst managing marketing measurement for Minted, connecting consumers with independent artists. Utilizing data to optimize acquisition, retention, and revenue while using cutting - edge analytics tools.
Data Analytics & Reporting Specialist at Trivium Packaging driving cost reduction through insightful data analytics and reporting. Collaborating with cross - functional teams and presenting findings to leadership.
Senior Analyst in Data Analytics at Royal Caribbean Group responsible for revenue management systems. Collaborating with various teams to enhance business strategies and analytical reporting.
Data Analyst Intern mining and analyzing data for Global Services stakeholders. Enabling data driven decisions and translating insights into actionable strategies.
AI Predictive Analytics Manager driving strategy and delivering impactful results in DoD network modernization. Leading automation and AI initiatives within the Global Solutions Management - Operations II contract.
Data Analyst responsible for data capturing and online marketing analytics at Löwenstark. Collaborating across teams, interpreting data to optimize performance and drive innovations in the field.
Experienced employee responsible for EDI processes with customers and suppliers. Analyzing and preparing data in SAP S/4 HANA environment with primary focus on integration.
Data Analytics & AI Intern at HF Sinclair collaborating on analytics and AI for business innovations. Supporting tasks involving data collection, analysis, and project management.
I&A Manager for Reckitt, leading Consumer Engagement and Business Insights through analytics. Collaborating with internal teams to enhance competitive advantage and actionable strategies.
Data Analyst for SOMOS Educação developing data models and insights for decision - making. Collaborating team efforts to enhance processes using Power BI and SQL analysis.