aipythonsqluser acquisitiona b testingmobile marketingattributioncohort analysisltv modelingincrementality
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Текст:
Hirify AI/Оригинал
TL;DR
Sr. Data Analyst - User Acquisition (Mobile Apps): Measuring and optimizing user acquisition across mobile apps and web properties with an accent on attribution, channel performance, cohort LTV, and payback analysis. Focus on building predictive LTV models, validating data across attribution platforms, designing incrementality tests, and guiding budget allocation.
Location: Remote
Company
A fast-growing technology company building businesses at the intersection of AI, data, mobile apps, and digital experiences, with a portfolio reaching more than 100 million monthly active users.
What you will do
Design and maintain shared datasets and data pipelines for self-service analytics and data-driven decisions.
Own user acquisition performance measurement across paid channels, including CPI/CAC, ROAS, retention, and payback by channel, campaign, geography, and creative.
Build predictive LTV models and cohort curves to support bidding and budget decisions.
Reconcile attribution, install, and revenue data across mobile measurement partners, ad networks, and internal event systems.
Analyze web-to-app funnels, traffic quality, fraud indicators, and post-install behavior.
Design and evaluate incrementality tests, geo-holdouts, and creative or landing-page A/B tests, then translate findings into spend recommendations.
Requirements
4+ years of analytics experience, including at least 2 years supporting mobile app user acquisition or performance marketing.
Strong SQL and Python skills with experience working with large-scale production data.
Hands-on experience with at least one mobile measurement partner such as AppsFlyer, Adjust, Singular, or Branch.
Experience with attribution windows, re-engagement, postbacks, dashboards, LTV or payback models, and cohort analysis.
Familiarity with A/B testing, causal analysis, incrementality, inferential statistics, media mix modeling, iOS SKAN, and evolving privacy requirements.
Strong analytical, business communication, collaboration, and problem-solving skills.
Nice to have
Experience with Redshift, Spark, Airflow, experiment design, predictive modeling, log analysis, AI, or technology and startup environments.
Culture & Benefits
100% remote-first environment with a global team.
High ownership and autonomy, with direct influence on user acquisition budget allocation.
Close collaboration with engineering, product, growth, and content teams.
Competitive compensation, generous benefits, and an equity plan for full-time team members.
Individual bonuses, open PTO, company holidays, wellness days, and remote social activities.
Weekly meeting-free days and peer recognition through Bonusly.
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