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7 часов назад

Analytics Engineer

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Poland/Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Analytics Engineer (ClickHouse/Python): Building the warehouse, production data pipelines, BI dashboards, monitoring, and alerting that become the source of truth for product and business decisions with an accent on retention, unit economics, attribution, and pricing analytics. Focus on owning ClickHouse end to end, integrating Postgres, Stripe, Slack, and advertising platforms, and turning complex business questions into trusted metrics.

Location: On-site in Munich, Germany, or Warsaw, Poland

Company

hirify.global builds an AI teammate for Slack and Microsoft Teams that connects to thousands of tools and performs work for companies across finance, marketing, operations, and engineering.

What you will do

  • Own the ClickHouse warehouse end to end, including schema design, ingestion, backfills, and performance.
  • Build and maintain production pipelines connecting Postgres, Stripe, Slack, advertising platforms, and future data sources.
  • Build, maintain, and improve Hex BI dashboards for growth, finance, support, and product teams.
  • Analyze retention cohorts, credit and unit economics, channel attribution, churn, and pricing impact.
  • Implement monitoring and alerting so the team identifies important metric changes quickly.
  • Work with co-founders and company leaders to scope, prioritize, and deliver data initiatives.

Requirements

  • Advanced SQL skills and pragmatic experience with complex queries.
  • Python experience for ETL and orchestration using dbt, Dagster, Airflow, or similar tools.
  • Experience with columnar data warehouses such as ClickHouse, Snowflake, BigQuery, or Redshift.
  • Experience building BI layers from scratch with Hex, Metabase, Looker, or similar platforms.
  • Proactive product mindset and ownership of analytics foundations, rather than a ticket-driven approach.
  • Ability to work on-site in Munich or Warsaw.

Nice to have

  • Early-stage startup experience at a company with fewer than 30 people.
  • Familiarity with Stripe and SaaS metrics including MRR, ARR, NDR, and LTV.
  • Background in machine learning or forecasting.
  • Experience replacing founder-maintained spreadsheets with trusted analytics systems.

Culture & Benefits

  • Small team with high trust, low process, and ownership-based decision-making.
  • No data lead above the role; direct collaboration with the co-founders.
  • Opportunity to define the warehouse, BI layer, and data foundation at an early stage.
  • Top-of-the-market salary.
  • Immediate ownership and direct interaction with users.

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