Growth Analytics Engineer

What's Actually Going On Here

Right now decisions about retention, pricing, channel mix, and unit economics happen from spreadsheets people made themselves. That works at our size; it won't work at the next one. Every team needs a number, and nobody owns the layer those numbers come from.

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. You decide how it's structured and what gets in.

• Build and maintain the pipelines. Prod Postgres, Stripe, Slack, ad platforms, whatever's next. You write them and own them when they break.

• Run the BI layer. Hex dashboards for growth, finance, support, product. You build, maintain, and prune them; dead dashboards are worse than none.

• Answer the questions that move the business. Retention cohorts, credit and unit economics, channel attribution, churn, pricing impact. You bring answers proactively.

• 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. You 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.

Who You Are

• Advanced SQL. Pragmatic on complex queries. You don't write 400-line CTEs when 40 will do.

• Python for ETL and orchestration: dbt, Dagster, Airflow, or similar. Real pipelines, not just notebooks.

• Familiar with columnar warehouses (ClickHouse, Snowflake, BigQuery, Redshift). Bonus for ClickHouse, since that's what we're on.

• Built BI layers from scratch (Hex, Metabase, Looker). You know a dashboard that gets used from one bookmarked once and forgotten.

• 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.

Why This Role Is Different

• No layers. No data lead above you. You own the foundation.

• The work you ship defines how the company makes decisions. Once the warehouse and BI layer are real, every team gets faster.

• The questions are real: retention cohorts, credit economics, channel attribution at the unit level. The answers change what we do next quarter.

• The co-founders already believe data is strategic. No convincing anyone it matters.

Even Better If

• Early-stage startup experience. You've been at a sub-30-person company.

• Familiarity with Stripe and SaaS metrics: MRR, ARR, NDR, LTV. You've helped close the books, not just queried them.

• Background in ML or forecasting. Helpful, not essential.

• You've worked where founders pulled their own numbers and you loved replacing that habit.

How we work

Small team, high trust, low process. Decisions are made by owners, not committees. You will ship your first week. You will talk to users your first day.

We don't do alignment meetings or stakeholder syncs. We build things, see if they work, and iterate.

Why Viktor

We're one of the fastest-growing companies in the world. The product works. The market is pulling.

This is a rare window: everyone here owns something real. Not a task. A surface of the company that customers depend on.

That doesn't last forever. Right now, it's still true.