The PEOPLE App team is looking for a Business Data Analyst to help understand app performance, identify areas for improvement, and influence strategic decisions for user growth and engagement.
Requirements
- Direct mobile app analytics experience, deeply familiar with mobile app KPIs including but not limited to DAU/WAU/MAU, retention (Day 1/7/30), session depth, time in app, churn, cost per acquisition, and push notification performance.
- Strong command of mobile app analytics tools: Amplitude, AppsFlyer, App Store / Google Play Consoles, Firebase, or equivalent.
- Advanced Excel and Google Sheets skills, with experience building robust models, performing complex analyses, and turning raw data into actionable insights.
- Fluent in Looker (or similar BI tools); confident building your own dashboards and data models.
- Analytical thinker who thrives on asking “why” and translating numbers into stories and strategy.
- Comfortable navigating large, messy data sets and surfacing what matters.
- Familiarity with push notification engagement, email performance, cohort analysis, and retention modeling.
Responsibilities
- Monitor 5–10 key metrics daily (e.g., DAU, retention, conversions)
- Flag anomalies, trends, and wins to the app leadership team
- Produce weekly/monthly insight recaps for cross-functional teams
- Build fast-turn analyses in response to real-time performance questions
- Analyze why KPIs are moving — both up and down — across acquisition, engagement, and retention
- Explore behavior by cohort, channel, content type, and audience segment
- Build and maintain Looker dashboards to visualize app performance
Other
- Reporting to the General Manager, PEOPLE App, this person will be a key partner to product, marketing, monetization, and editorial leads, surfacing insights that influence strategic decisions, feature prioritization, and audience growth.
- Hybrid 3x a week- (New York, NY)
- Exceptional communicator — you can share data-backed insights with technical and non-technical audiences alike.
- Self-starter who’s comfortable operating in a fast-paced, lean team environment.
- Nice to Haves: Experience in entertainment/media, lifestyle, or consumer apps; SQL proficiency; experience working with marketing teams on campaign attribution
