Senior Data Analyst

At Adapty, we make it easy for mobile apps to manage in-app purchases and paywalls. We power 20K+ apps, process $3B+ in subscriptions every year, and have been growing fast for the last four years. Our mission is simple: make apps rich.

We are a team of 210+ passionate, product-driven people who love solving big challenges. Backed by top investors like 500 Startups and Surface Ventures, we are building one of mobile's fastest-growing SaaS companies and aiming for number one worldwide.

Why This Role Matters

Adapty's Revenue team is scaling across SDR, Account Executive, Customer Success, and Professional Services. The data that explains how it is doing sits in CRM, billing, invoices, product usage, and marketing tools – and none of it is connected. This role owns that end to end: pull the data in, model it, and turn it into dashboards and answers.

What you'll do

• Own analytical requests from Revenue and Marketing: SDR, AE, CS, marketing channels and events.

• Cross-check CRM, billing, invoice, product usage, and marketing data and catch where sources disagree.

• Build the dashboards Revenue actually runs on in Metabase: pipeline, quota attainment, new revenue, churn, contraction, expansion, NRR/GRR, customer health.

• Connect marketing to revenue: channel and event ROI, CAC, LTV, payback, funnel conversion.

• Own data quality: find problems before leadership does and bring them with a fix.

• Explain why revenue moved – product, region, segment, channel, billing logic, customer behaviour – not just that it moved.

• Build forecasting and risk models: revenue forecast, churn and contraction risk, NRR forecast.

About you

• You understand the nature of data: you validate and cross-check sources and don't trust a number until you've verified it.

• Excellent SQL (PostgreSQL, ClickHouse) and strong Python for analysis.

• You use AI tools (Claude or similar) in your daily work and know how to verify what they produce.

• You are comfortable in a BI tool, ideally Metabase, and you build dashboards people actually use.

• You know SaaS revenue metrics well: MRR, ARR, NRR, GRR, churn, contraction, expansion, pipeline, quota attainment, cohorts.

• You know marketing metrics too: CAC, LTV, payback, channel and event ROI, attribution, funnel conversion.

• You understand how SDR, AE, and CS work and how that shows up in revenue.

• High ownership: you take a vague business question, clarify it, build the thing, explain the result, and say what to do next.

Nice to have

• Data engineering experience: Airflow, dbt, ETL pipelines.

• HubSpot data and HubSpot reporting logic.

• Subscription, billing, invoice, or usage-based revenue data.

• Churn prediction, customer health scores, or forecasting models that shipped and got used.

• Marketing attribution across paid, organic, and events.

• BI migration, dashboard governance, and aligning metric definitions across teams.

What's in it for you

• Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies.

• Exceptional compensation directly tied to your results.

• Direct communication and ownership. No bureaucracy, no politics, just impact.

• Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices.

• Professional support. Language learning, sports, health insurance, laptop coverage, and more.