data analyst for subscription revenue

Adapty provides mobile apps with tools to manage in-app purchases and paywalls. The SaaS company powers more than 20K apps and processes over $2B in subscriptions annually.

• Build and own pipelines that combine CRM, billing, invoice, product usage, and marketing data using Airflow, dbt, n8n, and Python;
• Model data into clean, documented, and tested layers;
• Build Revenue dashboards in Metabase covering pipeline, quota attainment, new revenue, churn, contraction, expansion, NRR/GRR, and customer health;
• Connect marketing to revenue through channel and event ROI, CAC, LTV, payback, and funnel conversion analysis;
• Own data quality through monitoring, tests, and alerts;
• Explain revenue changes across product, region, segment, channel, billing logic, and customer behaviour;
• Build revenue forecasting, churn and contraction risk, and NRR forecast models.

• Experience building ETL pipelines and maintaining them in production using Airflow, dbt, n8n, or equivalents;
• Excellent SQL skills with PostgreSQL and ClickHouse;
• Strong Python skills for automation and analysis;
• Experience with BI tools, ideally Metabase, and building dashboards that people use;
• Strong knowledge of SaaS revenue metrics, including MRR, ARR, NRR, GRR, churn, contraction, expansion, pipeline, quota attainment, and cohorts;
• Strong knowledge of marketing metrics, including CAC, LTV, payback, channel and event ROI, attribution, and funnel conversion;
• Understanding of how SDR, AE, and CS operations affect revenue;
• High ownership and ability to clarify vague business questions, build solutions, explain results, and recommend next steps;
• Nice to have: HubSpot data and reporting logic, subscription/billing/invoice or usage-based revenue data, shipped churn prediction/customer health/forecasting models, marketing attribution across paid, organic, and events, BI migration, dashboard governance, and cross-team metric definition alignment.

• Exceptional compensation directly tied to results;
• Flexible remote work from anywhere;
• Onsite work available in Belgrade or London offices;
• Language learning, sports, health insurance, and laptop coverage.