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 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.

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 idóneo 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 Design and analyze pricing, packaging, and paywall experiments (price points, trial length, plan structure,



paywall placement and copy), and read results with statistical rigor Analyze ad monetization performance, including eCPM, fill rate, impressions per user, and mediation/bidding setup, and balance ad revenue against retention and user experience Reconcile revenue data across app stores, subscription platforms, ad networks, and internal systems, and investigate discrepancies Solid SQL and Python programming skills, and experience working with large-scale production data Business acumen to translate data and analysis into business impact 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., 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 You pay attention to detail, are meticulous, and ensure quality work and compliance. 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 What We Are Offering We are a 100% remote-first, global company. Participation in the Company's equity plan (for full-time team members). Remote social activities, including virtual coffee buddies. Open PTO, generous Company Holidays, and Wellness Days (for full-time team members).

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