Data Analyst

13 ago - Turbigo
Satispay

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.
Se desidera saperne di più su questa occasione o sta pensando di candidarsi, la preghiamo di leggere le seguenti informazioni. What You'll Be Doing
- 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
- 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 implementatio

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