Note: The job is a remote job and is open to candidates in USA. Viktor is an innovative company that serves as an AI teammate within Slack and Microsoft Teams, connecting to various tools and enhancing operational efficiency. They are looking for a Growth Analytics Engineer who will be responsible for building and maintaining data pipelines, managing the BI layer, and providing critical business insights to drive decision-making across the organization.
Responsibilities
- 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
Skills
- 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
- 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
Company Overview