Satispay is building a complete financial platform and we need a Data Analyst – Analytics Engineering to drive our data strategy and enhance decision‑making by developing scalable data assets and AI‑powered workflows.

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What You’ll Be Doing

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- Lead Design Data Architecture – Drive the development of the Data Mesh layer by designing robust data models and building pipelines that integrate into the company’s federated data strategy, ensuring scalable and governed data ownership.
- Define AI Agentic Workflows – Design and implement AI‑powered agentic workflows for data transformation and exploration, accelerating analytical capabilities and enabling self‑service for key stakeholders.
- Build High‑Impact Visualisation Tools – Define key metrics and develop dashboards and reports (using tools such as Hex or Looker) that communicate analytical insights effectively.




- Drive Decision-Making Through Data – Analyse complex datasets to identify patterns impacting the consumer funnel (Acquisition, Engagement, Retention, Monetisation) and partner with Marketing Managers to maximise ROI.
- Partner with Key Stakeholders – Act as a strategic partner for Marketing, Finance, Operations, and Product, bridging the gap between technical data and business goals.
- Drive Testing Initiatives – Own the end‑to‑end testing pipeline, from opportunity identification to experiment design and recommendation delivery.

Who We’re Looking For

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- Relevant Experience – 5+ years in data‑related roles (Data Engineering, Analytics, BI) with at least 3 years of hands‑on experience in high‑volume or big data environments.
- Technical Proficiency – Strong command of SQL, dbt, and Python. Experience with Git and notebook‑based analytics (e.g., Jupyter) is a plus.
- Data Modelling & Mesh Expertise – Hands‑on experience in data modelling, ETL, data governance, and Data Mesh implem

📌 Data Analyst (Turbigo)
🏢 Satispay
📍 Turbigo