A SNAPSHOT OF YOUR RESPONSIBILITES
Subscriber & Engagement Reporting
Build and own engagement reporting for subscription products — active days, session frequency, content starts and completion, title and category performance, and platform mix across web, mobile app, CTV, and third-party platforms
Analyze subscriber acquisition, retention, churn (voluntary and involuntary), cancellations, and plan mix and their impact on engagement
Connect engagement to retention, identifying the early-tenure behaviors that separate subscribers who stay from those who churn, and translating that into onboarding, content, and lifecycle recommendations
Build and maintain dashboards tracking key subscription and engagement metrics, in partnership with Data Engineering
Maintain and evolve recurring performance comparisons (month-over-month, cohort-over-cohort, pre- and post-launch), proactively flagging anomalies such as app issues, tracking gaps, and data quality problems before they distort reporting
Provide guidance to finance on cost as it relates to engagement of programming and inform future content strategies and acquisitions
Hands-On Data & Query Work
Write and maintain SQL (Snowflake or comparable) against subscription, billing, engagement, campaign, and behavioral data — joins, aggregations, CTEs, and window functions against large and imperfect sources
Conduct cohort analysis to identify trends by acquisition channel, offer, plan type, tenure, platform, and content affinity
Troubleshoot data discrepancies across platforms and internal tracking (naming mismatches, missing records, deduplication logic) and resolve them at the query level
Support the transition from manual, on-demand reporting to self-service dashboards in partnership with Data Engineering
Marketing, Lifecycle & Campaign Measurement
Analyze campaign performance across marketing and CRM channels — email, push, in-app, SMS, and paid media — and connect activity to downstream subscriber acquisition, engagement, and retention
Support attribution analysis (e.g., first-touch) to measure the impact of campaigns on subscription conversion and migration efforts
Conduct segmentation analysis to surface engagement trends, at-risk segments, and personalization opportunities
Support experimentation and test design, helping isolate confounding variables (for example content quality versus message format, or seasonality versus offer effect) so results are interpretable
Cross-Functional Partnership
Translate analysis into clear, digestible summaries and recommendations for Programming, Marketing, CRM, Content, Product, and Finance stakeholders, tailoring the narrative to each audience
Respond to ad hoc requests from senior stakeholders with quick turnaround, clear caveats, and accurate data
Flag data quality issues and tracking gaps to Data Engineering and Analytics Engineering partners, and follow through to resolution
WHAT YOU WILL NEED
Strong SQL skills required — able to independently write and troubleshoot queries involving joins, aggregations, CTEs, and window functions against large datasets. This is a must-have and the core of the role
Experience in subscription, growth, product, marketing, or media analytics, or a related quantitative and reporting role
Genuine curiosity about the whole subscriber picture — comfort moving between a churn cohort, a content engagement question, and a campaign performance read in the same week
Experience analyzing or reporting on subscription and lifecycle metrics (acquisition, churn, cancellations, retention, LTV)
Comfort working in a BI or visualization tool (Looker, Tableau, Power BI, Hex, or similar)
Strong Excel and Google Sheets skills for ad hoc analysis, including pivot tables
Good communication skills — able to explain data findings, and their limitations, clearly to non-technical stakeholders
Detail-oriented, with a track record of catching and resolving data quality issues before they reach leadership
Comfortable working in a fast-paced environment with recurring deadlines and frequent ad hoc requests
Experience with AI tools such as Claude, ChatGPT, or Cursor
Familiarity with product analytics or engagement measurement tools (e.g., Adobe Analytics, Google Analytics 4, Amplitude) a plus
Familiarity with subscription billing platforms (e.g., Recurly, Zuora, Stripe Billing) a plus
Exposure to a CRM or lifecycle platform such as Braze a plus
Prior experience in media, streaming, publishing, or another content subscription business a plus
Bachelor's degree in a quantitative field (Statistics, Economics, Math, Business Analytics) or equivalent practical experience
#LI-BC1
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 $92,000.00-130,000.00 annually. This role is also eligible for various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.
View more detail about FOX Benefits.
