Staff Data Analyst, Growth

Own Growth analytics end-to-end as the senior data partner to the paid-UA team.
Build and own LTV, ROAS, CAC, and payback models.
Analyze multi-million-dollar UA budgets across Meta, Google, TikTok, AppLovin, and other channels.
Build and maintain data models and pipelines for UA analytics.
Create warehouse models, dbt-style transformations, and self-serve dashboards.
Design and analyze A/B tests, geo-lift, and incrementality studies.
Build attribution and marketing-mix measurement.
Analyze acquisition, activation, subscription, and retention funnels.
Translate analytics into recommendations for Growth and Product leadership.
Define KPIs, tracking standards, and data-quality processes.
Partner with Product to maintain consistent metrics and sources of truth.
Expert SQL
Strong Python or R
dbt / dbt-style transformations
Data warehouse modeling
Data pipelines
LTV / ROAS / CAC modeling
Incrementality testing
Experimentation / A/B testing
Causal inference
Mobile attribution / MMPs
Adjust / AppsFlyer
Paid UA analytics
Looker, Tableau, Mode, or similar BI tools
Marketing / Growth analytics
Experience in consumer apps
Mobile gaming experience
Subscription business experience
High-growth / startup experience
Experience with marketing-mix measurement
Experience working with Product analytics
Autonomous
Solutions-oriented
Data-driven
Quick to action
Strong decision-making and analytical thinking
Able to influence leadership
Able to set standards and operate independently
Comfortable working in a high-growth environment

Work arrangement
Yes