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.
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 general 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 ***
* 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.

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?

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 organizationImprove data quality, accuracy, reliability,



and documentation to strengthen self-service analyticsOwn revenue and monetization metrics across the portfolio, including ARPU/ARPDAU, LTV, trial-to-paid conversion, renewal and churn rates, refunds, and revenue mix by sourceDesign and analyze pricing, packaging, and paywall experiments (price points, trial length, plan structure, paywall placement and copy), and read results with statistical rigorBuild subscription cohort and LTV models that inform pricing decisions and feed back into UA bidding and payback targetsAnalyze ad monetization performance, including eCPM, fill rate, impressions per user, and mediation/bidding setup, and balance ad revenue against retention and user experienceMeasure the economics of partner offers and rewards, including revenue earned vs. rewards paid out, to keep the rewards model profitableReconcile revenue data across app stores, subscription platforms, ad networks, and internal systems, and investigate discrepanciesPartner with Monetization, Product, and GMs on revenue forecasting, opportunity sizing, and roadmap prioritizationCommunicate analytical findings through clear, compelling narratives to drive alignment, inform prioritization, and deliver measurable business impactWhat You Bring to the Team Analytical excellence to dissect complex, ambiguous problems and uncover actionable insightsSolid SQL and Python programming skills,



and experience working with large-scale production dataBusiness acumen to translate data and analysis into business impactExceptional written and verbal communication skills to effectively collaborate in a highly cross-functional environment4+ years in analytics, preferred background in monetization, pricing, or revenue analytics for consumer subscription apps & gamesExperience with LTV modeling and revenue forecasting on subscription and ad monetized apps/gamesTrack 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 tradeoffsFamiliarity with app store subscription mechanics (App Store/Google Play billing, trials, grace periods, renewals, refunds) and subscription platforms (e.
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 environmentsAlignment with Our Core Values: Accountable: You take ownership of your responsibilities, demonstrating trustworthiness and self-discipline. You pay attention to detail, are meticulous, and ensure quality work and compliance.
You'll Thrive Here If You Are AnalyticalPragmaticCuriousCommunicativeAction-DrivenCollaborativeWhy Join Mode Mobile High ownership and autonomy across business unitsDirect impact on product, revenue, and user experiencesStrong partners across engineering, product, growth, and contentOpportunities to shape Mode's analytics function and data cultureA fast-moving, supportive, global remote environmentWe Believe in the Following Workplace Norms A

📌 Senior Data Analyst (España)
🏢 Mode Mobile
📍 España