Lead data-driven user acquisition (UA) analytics for Mode Mobile’s global mobile and web portfolio, measuring attribution, LTV, and campaign performance across channels like Meta, Google, and TikTok. Design predictive models, validate data quality, and provide actionable spend recommendations to optimize UA budgets. Requires 4+ years in analytics, deep SQL/Python expertise, and hands-on MMP experience.
Key Highlights
Own end-to-end UA performance measurement, including attribution, CPI/CAC, ROAS, retention, and payback analysis across channels and geographies
Build and maintain predictive LTV models, cohort curves, and incrementality tests to guide bid/budget decisions
Partner with cross-functional teams (engineering, product, growth) to improve data pipelines, dashboards, and self-service analytics
Key Responsibilities
Design, build, and maintain common datasets/data pipelines for self-service analytics across the organization
Improve data quality, accuracy, and reliability for UA performance measurement, including reconciliation across MMPs and ad networks
Develop and maintain predictive LTV models, cohort analyses, and payback calculations to inform UA strategy
Design and execute incrementality tests (geo-holdouts, A/B tests) to measure true lift beyond last-touch attribution
Monitor traffic quality, flag anomalies (fraud, low-quality sources), and investigate discrepancies in attribution/installs
Analyze web-to-app funnels and identify drop-off points to optimize conversion paths
Partner with UA team to allocate budgets and channel mix, translating data insights into spend recommendations
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Technical Skills Required
SQL
Python
Mobile App Marketing Data Analysis
Benefits & Perks
100% remote-first, global work environment
Competitive compensation package
Equity plan participation for full-time team members
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Nice to Have
Experience with Big Data tools (Redshift, Spark, Airflow)
Predictive modeling or experiment design expertise
Familiarity with iOS SKAN and privacy changes
Background in tech/startup environments
Job Description
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 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.
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