[Hiring] Growth Analytics Engineer @Viktor

Role Description

You own the truth. You write the SQL, build the pipelines, and ship the dashboards everyone else lives in. You don't wait for someone to tell you what's happening; you go find out, then bring the answer to the team. Equal parts engineer and analyst. You ship.

You'll be our first Growth Analytics Engineer. No team to inherit, no data lead above you. You build the foundation: warehouse, pipelines, dashboards, alerts. You report to the co-founders.

What You'll Actually Do

• Own the ClickHouse warehouse end-to-end: schema, ingestion, backfills, performance.
• Build and maintain the pipelines: Prod Postgres, Stripe, Slack, ad platforms, whatever's next.
• Run the BI layer: Hex dashboards for growth, finance, support, product.
• Answer the questions that move the business: retention cohorts, credit and unit economics, channel attribution, churn, pricing impact.
• Stand up monitoring and alerting: we hear about a metric moving the wrong way from your alerts, not from a customer.
• Work with the co-founders and leaders across the company: scope, prioritize, ship fast, and push back when the question isn't the right one.

How You'll Know It's Working

• The team makes decisions faster because the numbers are clear and trusted.
• People stop building parallel spreadsheets: the dashboard is the source of truth.
• When a metric moves, you knew first.
• The co-founders stop pulling numbers themselves, because you're better at it.
• New hires can answer most business questions without asking anyone.

Qualifications

• Advanced SQL: pragmatic on complex queries.
• Python for ETL and orchestration: dbt, Dagster, Airflow, or similar.
• Familiar with columnar warehouses: ClickHouse, Snowflake, BigQuery, Redshift.
• Built BI layers from scratch: Hex, Metabase, Looker.
• Product mindset: proactive, challenges assumptions, biases toward action.
• Founder mentality: you're building a function, not inheriting one.
• Remote, Warsaw, or Munich: where you live is up to you.

Requirements

• Early-stage startup experience: you've been at a sub-30-person company.
• Familiarity with Stripe and SaaS metrics: MRR, ARR, NDR, LTV.
• Background in ML or forecasting: helpful, not essential.
• Experience where founders pulled their own numbers and you loved replacing that habit.

Benefits

• Top-of-the-market salary and the kind of ownership that only exists at this stage.
• The best work happens when you're in the room: Munich, New York, Dublin, and Warsaw. Remote for some roles.