RESPONSIBILITIES:
A client with Kforce is seeking a Subscriber Lifecycle & Advanced Analytics to join their team for a remote role.
Summary:
This position focuses on advanced, high-complexity analytics within a subscription/SVOD business. The Subscriber Lifecycle & Advanced Analytics will lead deep subscriber lifecycle analysis, execute heavy SQL-driven analytical work, and contribute to modeling and data improvement initiatives across large-scale datasets. This person 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.
Day-to-Day 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
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)
Preferred/Nice to Have (Not Required):
* 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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: kforcecx
- Position Id: ITWQG2172379
- Posted 2 hours ago
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