Sr. Data Analyst - User Acquisition

Responsibilities

• Design, build, and maintain common datasets and data pipelines for self-service analytics
• Own UA performance measurement across paid channels including Meta, Google, TikTok, and AppLovin
• Build and maintain predictive LTV models and cohort curves
• Reconcile and validate data across MMPs, ad networks, and internal event data
• Analyze web-to-app and web funnel performance to identify drop-off points
• Design and interpret incrementality tests, geo-holdouts, and A/B tests
• Monitor traffic quality and flag anomalies such as fraud or low-quality sources
• Partner with the UA team on budget allocation and channel mix scenarios

Requirements

• 4+ years of experience in analytics
• At least 2 years supporting user acquisition or performance marketing for mobile apps
• Solid SQL and Python programming skills
• Hands-on experience with at least one MMP (AppsFlyer, Adjust, Singular, or Branch)
• Experience building dashboards, LTV/payback models, and cohort analyses
• Familiarity with growth marketing concepts like A/B Testing, Causal analysis, and Incrementality

Preferred Qualifications

• Experience with Big Data tools such as Redshift, Spark, or Airflow
• Experience with experiment design and predictive modeling
• Experience in tech or startup environments

Benefits

• 100% remote-first global environment
• Participation in the Company's equity plan
• Individual bonuses via Company Bonus Program
• Open PTO, generous Company Holidays, and Wellness Days
• Remote social activities and recognition via Bonusly

About the Company

Mode is a fast-growing technology company building businesses at the intersection of AI, data, mobile apps, and digital experiences, reaching over 100M monthly active users globally.