Temp - Senior Analyst - Subscriber Lifecycle & Advanced Analytics (R50032566)

Temp - Senior Analyst - Subscriber Lifecycle & Advanced Analytics (R50032566) FOX United States, California, Los Angeles May 13, 2026 OVERVIEW OF THE COMPANYFox Corporation Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX s Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

JOB DESCRIPTION ABOUT THIS ROLE

This role focuses on advanced, high-complexity analytics within a subscription/SVOD business. The position will lead deep subscriber lifecycle analysis, execute heavy SQL-driven analytical work, and contribute to modeling and data improvement initiatives across large-scale datasets. The contractor will perform structured, insight-driven analysis across conversion, churn, renewal, and long-term subscriber value. This role requires strong technical depth, rigorous analytical thinking, and the ability to independently execute complex analytical initiatives that inform strategic decision-making.

A SNAPSHOT OF YOUR RESPONSIBLITIES

Write advanced SQL across subscription, transaction, engagement, and CRM datasets. Conduct deep-dive lifecycle analysis across conversion, churn, renewal, and LTV. Perform high-impact analytical investigations to identify subscriber behavior trends and revenue drivers. Clean, reconcile, and validate complex datasets to improve data integrity. Support modeling initiatives and feature development for advanced analytics. Prepare structured datasets for predictive analysis and lifecycle modeling. Deliver insight-driven analysis that informs retention and revenue strategy. Identify structural data inconsistencies and recommend analytical improvements.

WHAT YOU WILL NEED

5+ years of advanced analytics experience in subscription, SVOD, or recurring revenue environments. Expert-level SQL (complex joins, window functions, CTEs, cohort modeling). Strong experience with subscriber lifecycle analysis. Experience conducting complex, insight-driven analysis beyond dashboard reporting. Strong understanding of churn dynamics, renewal behavior, retention modeling, and LTV. Experience working in Snowflake or similar modern data warehouse environments. Strong data reconciliation and validation skills. Tableau dashboard development experience (building scalable, insight-driven reporting).

NICE TO HAVE, BUT NOT A DEALBREAKER

Experience with Python for data analysis (pandas, feature engineering, basic modeling workflows). Exposure to predictive modeling or data science initiatives. Experience preparing structured datasets for advanced analytics workflows. Familiarity with dbt for data modeling and transformation workflows. Exposure to Airflow or similar orchestration tools. #Ll-KD1 #Ll-Hybrid We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law. Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $72.00-82.00 per hour.