[Hiring] Senior Data Analyst @Mode Mobile

Role Description

We’re looking for a Senior Data Analyst to be the analytical partner to our Monetization team. You’ll own how we measure and grow revenue across our portfolio of mobile apps and web properties, spanning subscriptions, in-app purchases, advertising, and partner offers, and turn that into clear recommendations on pricing, packaging, and revenue mix. The ideal candidate has exceptional SQL and Python skills, hands-on experience with consumer subscription apps, and the rigor to design pricing experiments that hold up.

• Design, build, and maintain common datasets and data pipelines that strengthen self-service analytics and enable data-driven decision making across the organization.
• Improve data quality, accuracy, reliability, and documentation to strengthen self-service analytics.
• Own revenue and monetization metrics across the portfolio, including ARPU/ARPDAU, LTV, trial-to-paid conversion, renewal and churn rates, refunds, and revenue mix by source.
• Design and analyze pricing, packaging, and paywall experiments (price points, trial length, plan structure, paywall placement and copy), and read results with statistical rigor.
• Build subscription cohort and LTV models that inform pricing decisions and feed back into UA bidding and payback targets.
• Analyze ad monetization performance, including eCPM, fill rate, impressions per user, and mediation/bidding setup, and balance ad revenue against retention and user experience.
• Measure the economics of partner offers and rewards, including revenue earned vs. rewards paid out, to keep the rewards model profitable.
• Reconcile revenue data across app stores, subscription platforms, ad networks, and internal systems, and investigate discrepancies.
• Partner with Monetization, Product, and GMs on revenue forecasting, opportunity sizing, and roadmap prioritization.
• Communicate analytical findings through clear, compelling narratives to drive alignment, inform prioritization, and deliver measurable business impact.

Qualifications

• Analytical excellence to dissect complex, ambiguous problems and uncover actionable insights.
• Solid SQL and Python programming skills, and experience working with large-scale production data.
• Business acumen to translate data and analysis into business impact.
• Exceptional written and verbal communication skills to effectively collaborate in a highly cross-functional environment.
• 4+ years in analytics, preferred background in monetization, pricing, or revenue analytics for consumer subscription apps & games.
• Experience with LTV modeling and revenue forecasting on subscription and ad monetized apps/games.
• Track record of designing and interpreting pricing or paywall A/B tests, including pitfalls like novelty effects, long conversion windows, and LTV vs. short-term conversion tradeoffs.
• Familiarity with app store subscription mechanics (App Store/Google Play billing, trials, grace periods, renewals, refunds) and subscription platforms (e.g., RevenueCat, Superwall, Adapty).
• Nice to have: experience with ad mediation experience (AppLovin MAX, ironSource/Unity LevelPlay, AdMob), web checkout or web-to-app payments, rewards or loyalty program economics, Big Data tools (Redshift/Spark/Airflow), dashboarding tools (Looker, Tableau), experiment design, predictive modeling, log analysis, AI, or experience in tech or startup environments.

Requirements

• Alignment with Our Core Values:
• Accountable: You take ownership of your responsibilities, demonstrating trustworthiness and self-discipline.
• Action-driven: Identify what is most important, agree on scope, execute in a timely manner, and drive the greatest impact.
• Caring: You genuinely care about yourself and others, our business and craft, our mission and vision.
• Curious: You focus on the ‘why,’ learn and expand your knowledge, explore new ideas, and generally make things better.
• Thorough: Your work is thoughtful, impactful, timely, accurate, and complete.
• You’ll Thrive Here If You Are:
• Analytical
• Pragmatic
• Curious
• Communicative
• Action-Driven
• Collaborative

Benefits

• We are a 100% remote-first, global company.
• A competitive compensation package.
• Generous perks & benefits to team members.
• Participation in the Company's equity plan (for full-time team members).
• Individual bonuses in accordance with our Company Bonus Program.
• Work with energetic, passionate, and results-driven people.
• Celebrate team members' personal and work milestones.
• Remote social activities, including virtual coffee buddies.
• Bonusly - We use Bonusly as a way to recognize and reward team members for their hard work and commitment.
• Weekly Wednesday Get Stuff Done Days (No Meetings).
• Open PTO, generous Company Holidays, and Wellness Days (for full-time team members).