Sr. Data Analyst - Monetization at Mode Mobile

Job description

Who We Are ( Mode.Inc ) Mode is a fast-growing technology company building businesses at the intersection of AI, data, mobile apps, and digital experiences. Our portfolio of mobile apps and digital products reaches 100M+ monthly active users across a global audience. We continue to accelerate growth through product innovation, strategic acquisitions, and emerging business opportunities. Mode was recognized by Deloitte as the #1 fastest-growing software company in North America on the 2023 Technology Fast 500. Today, we are building our next phase of growth, including expanding Mode's AI and data business and developing direct relationships with companies that can benefit from the data and capabilities we have built. Our Team and Culture Drive Our Success Our team is the heart of our culture. We value innovation, collaboration, and curiosity, with a passion for getting things done. We strive to hire and cultivate the best team members and foster a culture of open communication and transparency. We are driven and hard-working but also committed to having fun along the way. We allow OKRs to guide us, assume positive intent, sometimes agree to disagree and commit, honor our commitments, seek to accomplish more with less, and encourage everyone to speak up as our team owns our company’s success. You can read more about our team and how we work here . About the Role 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. What You’ll Do 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 What You Bring to the Team 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 Alignment with Our Core Values: Accountable: You take ownership of your responsibilities, demonstrating trustworthiness and self-discipline. You are consistent in your work, transparent in your actions, and communicate effectively. You follow through on commitments and strive for continuous improvement. Action-driven: Identify what is most important, agree on scope, execute in a timely manner, and drive the greatest impact. You take initiative, roll up your sleeves, and get things done. Caring: You genuinely care about yourself and others, our business and craft, our mission and vision, and are passionate in heart and mind. You understand the importance of our team and strive to create a positive, supportive work environment. Curious: You focus on the ‘why,’ learn and expand your knowledge, explore new ideas, and generally make things better. You're a lifelong learner with a thirst for knowledge and a constant desire to improve. Thorough: Your work is thoughtful, impactful, timely, accurate, and complete. You pay attention to detail, are meticulous, and ensure quality work and compliance. You’ll Thrive Here If You Are Analytical Pragmatic Curious Communicative Action-Driven Collaborative Why Join Mode Mobile High ownership and autonomy across business units Direct impact on product, revenue, and user experiences Strong partners across engineering, product, growth, and content Opportunities to shape Mode’s analytics function and data culture A fast-moving, supportive, global remote environment We Believe in the Following Workplace Norms Allow OKRs to Guide Us Assume Positive Intent Agree to Disagree & Commit Set New Precedents Accomplish More with Less Hold Yourself & Others to High Standards Speak Up Be Resourceful Follow the 80/20 Rule What We Are Offering We are a 100% remote-first, global company. A competitive compensation package. We offer generous perks & benefits to team members. Participation in the Company's equity plan (for full-time team members). We provide 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). If we just described you and your perfect role, we'd love to talk with you. We have a lot to accomplish this year and look forward to making headway and creating success together! Mode.Inc does not accept/pay fees for unsolicited resumes from third-party agencies/vendors. Our company is an Equal Employment Opportunity (EEO) employer. We are committed to providing a work environment free of discrimination and harassment. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We celebrate diversity and strive to create an inclusive environment for all team members.

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Must-haves

Who We Are ( Mode.Inc )
Our Team and Culture Drive Our Success
You can read more about our team and how we work here .
What You’ll Do
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
What You Bring to the Team
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
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-haves

4+ years in analytics, preferred background in monetization, pricing, or revenue analytics for consumer subscription apps & games
We provide individual bonuses in accordance with our Company Bonus Program.

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