Senior Data Analyst

Who you are

• 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, with at least 2 years supporting user acquisition or performance marketing for mobile apps
• Hands-on experience with at least one MMP (AppsFlyer, Adjust, Singular, or Branch) and an understanding of attribution windows, re-engagement, and postbacks
• Experience building dashboards, LTV/payback models and cohort analyses
• Familiarity with growth marketing concepts such as: A/B Testing, Causal analysis, Incrementality, Inferential statistics, MMM etc, iOS SKAN & incoming privacy changes
• Nice to have: experience with Big Data tools (Redshift/Spark/Airflow), experiment design, predictive modeling, log analysis, AI, or experience in tech or startup environments

What the job involves

• We’re looking for a Senior Data Analyst to be the analytical partner to our User Acquisition team.
• You’ll own the measurement of how we acquire users across our portfolio of mobile apps and web properties — from attribution and channel performance to cohort LTV and payback — and turn that into clear recommendations on where to spend the next dollar
• 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 UA performance measurement across paid channels (e.g., Meta, Google, TikTok, AppLovin, Unity), including CPI/CAC, ROAS, retention, and payback by channel, campaign, geo, and creative
• Build and maintain predictive LTV models and cohort curves that let the UA team make bid and budget decisions on early signals
• Reconcile and validate data across MMPs, ad networks, and internal event data, and investigate discrepancies in attribution, installs, and revenue
• Analyze web-to-app and web funnel performance, from landing page to install to first reward or engagement, and identify where users drop off
• Design and read incrementality tests, geo-holdouts, and creative or landing-page A/B tests to measure true lift beyond last-touch attribution
• Monitor traffic quality and flag anomalies, including fraud, low-quality sources, and post-install behavior that doesn’t match expectations
• Partner with the UA team on budget allocation and channel mix scenarios, and translate findings into clear spend recommendations