Analytics Engineer / Data Analyst (m/f/d)

We're looking for an Analytics Engineer / Data Analyst to join our Business Intelligence & Analytics team — based in Innsbruck or Vienna, or remote within the EU — with immediate effect. 

This is a blended role. You'll spend most of your time on analytics engineering (building the modeled, tested, documented data layer) and data analytics (turning that data into insights and decisions), with a bit of hands-on data engineering to keep the pipelines healthy. If you like owning data end-to-end — from raw source to a dashboard a stakeholder actually trusts — and want real influence in a growing European FinTech, we'd love to hear from you. Apply now! 

• Analytics engineering — the core of the role 

  • Design, build, and maintain our transformation layer in dbt on BigQuery — well-structured, tested, and documented data models that power analytics, data science, and self-service BI
  • Own and evolve the semantic/BI layer in Looker (LookML): governed, reliable metrics and dashboards for teams across the company
  • Safeguard data quality end-to-end — testing, documentation, and continuous improvement across the stack

  Data analytics — the core of the role 

  • Analyze large datasets to surface trends, patterns, and anomalies that drive product and business decisions
  • Define, implement, and monitor KPIs across business areas
  • Support management with forecasts, scenario analyses, and ad-hoc deep dives
  • Communicate and present insights and findings clearly and persuasively to stakeholders across the business

  Measurement & product analytics — owning the full loop 

  • Partner with product and engineering teams to define and set up event tracking and instrumentation — deciding what to measure and making sure it lands cleanly and reliably in the data
  • Translate product and business questions into clearly defined metrics, from the tracking plan all the way through to the data model
  • Bring those metrics to life on dashboards that stakeholders genuinely use to make decisions

  A bit of data engineering 

  • Help maintain and extend our ELT pipelines and orchestration (Fivetran, Dagster), keeping ingestion reliable and the warehouse performant

  AI as a force multiplier 

  • Use AI tools to accelerate analysis and enable self-service analytics — e.g. Conversational Analytics in Looker or AI-assisted exploration
  • Help build AI-powered internal tools and automations, such as agents for recurring analysis and reporting tasks

• Strong SQL is a must — you write complex queries with confidence
• Solid hands-on experience with dbt (data modeling, testing, documentation) — this is central to the role
• Experience with a cloud data warehouse; BigQuery preferred
• Experience with a BI / semantic layer; Looker/LookML preferred (Tableau or Power BI also welcome)
• Comfortable with Python for analysis, data manipulation, and automation
• Strong analytical thinking paired with a sharp sense of business impact
• Experience defining metrics and instrumenting event tracking together with engineering (tracking plans, event taxonomies) — you're comfortable owning measurement from definition through to the dashboard
• Proactive, self-directed working style and clear communication with technical and non-technical audiences alike
• Open and curious about AI tools in an analytics context — you use them actively to work more efficiently and assess their output critically
• Very good English (our working language); German is a plus

• A meaningful role in a growing European FinTech with real impact on product and strategy
• Gross monthly salary of min. EUR 3.954 (14x p.a.) – depending on experience, with readiness to overpay
• Flexible working hours and hybrid setup 
• Flat hierarchies, international team, startup culture, and lots of ownership
• Team events and Workations