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Careers — 01 / 11M/F/D

Data & Analytics Engineer

M/F/D | Munich, Zagreb, Trnava | Hybrid

  • M/F/D
  • Munich
  • Zagreb
  • Trnava
  • Hybrid
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Team assembling large puzzle pieces together
FIG. J—01

We offer

  • No bullshit work environment
  • Own the numbers our ventures are actually steered by
  • Personal impact
  • Career option as data lead in one of our ventures
  • Awesome colleagues
  • Onboarding phase mostly on site
  • After that, a high share of home office and self-directed work

What you'll do

  • Build the reporting that goes to investors and partners — and make it survive scrutiny
  • Model commerce, marketing and support data into one number people trust
  • Wire up experiments and evaluate them with honest significance
  • Automate the monthly close instead of assembling it
  • Say "the data can't prove that" when the data can't prove that
  • Prepare the quarterly reporting — and turn ad-hoc questions around fast without breaking the model
  • Dig into on-site behaviour — session recordings, heat maps, funnel drop-off — and come back with a recommendation, not a chart

Data stack

  • SQL first — modelling, dbt-style transformations, tests
  • Pipelines against commerce, marketing and support systems
  • Warehouse and BI — whatever fits the venture, not whatever's fashionable
  • TypeScript for the tooling and dashboards we build ourselves
  • GA4, ad platforms and commerce APIs — known well enough to distrust
  • Behaviour analytics — Hotjar or similar: heat maps, session recordings, funnel analysis
  • LLM tracking — you measure the traffic and answers coming out of AI assistants, not just search engines
  • LLMs as an analysis tool — you get to the answer faster with them, and you check them

Data philosophy

  • One defensible number beats ten dashboards
  • Attribution is a model, not a truth
  • The smallest model that answers the question wins
  • At low volume, noise looks like signal — respect that
  • If it isn't automated, it will be wrong next month
  • A finding without a recommendation is unfinished work

Requirements

  • You've built pipelines and models other people depend on
  • You can explain a significance test to a non-technical stakeholder
  • You document, so the model still works when you're on holiday
  • Pragmatic and shipping — no cathedral before the first answer
  • Fluent communication in English

Sounds like a job for you?

Send us your application and let's make an impact together.

Email us at hello@mantro.net

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