Temp - Senior Analyst – Subscriber Lifecycle & Advanced Analytics
About The Position
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.
Requirements
- 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 Haves
- 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.
Responsibilities
- 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.
Benefits
- We will consider for employment qualified applicants with criminal histories consistent with applicable law.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
