THE DATA LAYER THAT MAKES THE ANALYSIS TRUSTWORTHY (~40% OF THE ROLE):

• Integrate new sources end-to-end — next on the list: Adyen (disputes, commissions, partial refunds) and a clean geo dimension.
• Own the dbt project for your domains: well-modeled, well-documented, well-tested assets the business can self-serve from. Keep tests green, fix existing warnings, retire what's no longer earning its keep.
• Keep Dagster pipelines reliable, cheap, and fresh — SLAs and anomaly detection, not just "did it finish."
• Govern Metabase as a product: access, ownership, naming, self-serve UX, the dashboards people actually open.
• Embed AI tooling (Claude Code, Cursor) into the analytical workflow to compound output, not just tick a box.

MUST HAVE

• Analyst-grade SQL: You can answer almost any business question that fits in a warehouse — by yourself — without hand-holding.
• Statistical foundations you can defend: A/B testing (including sample size, power, and reading negative results), incrementality, correlation vs. causation, cohort thinking. Light ML where it earns its place.
• Hands-on marketing & payments analytics experience: You have personally moved CAC, LTV, retention, or unit-economics with a specific analysis you can walk through.
• dbt + a modern warehouse: (Snowflake, BigQuery, Redshift, or Databricks), you write the models you need yourself; you don't wait for a data engineer.
• Python for analysis and pipelines — pandas, notebooks, light scripting in an orchestrator (Dagster / Airflow / Prefect / similar).
• Russian language for day-to-day work with the team.

NICE TO HAVE

• Experience in a solo or duo data team — you've navigated the chaos yourself.
• Direct work with Facebook Ads API, Google Ads, MMP / attribution platforms; you know how ad hierarchies and attribution windows really behave.
• Forecasting, financial modeling, or unit economics — especially LTV forecasting and cohort modeling.
• BI ownership of Metabase / Looker / Mode as a product (UX, security, access, naming).
• Production use of AI tools (Claude, Cursor, GPT) built into your routine, not just experimented with.

WHAT WE OFFER

• Mission: Help users live longer, healthier lives through innovative products.
• Impact: Directly influence company growth with minimal bureaucracy.
• Compensation: Competitive salary and comprehensive benefits package.
• Work-life balance: Flexible working hours.
• Professional development: Tuition reimbursement.
• Remote work: Fully remote, preference ±2h CET.
• Benefits: Health insurance, gym membership reimbursement, home office support.