But we didn't stop there. Today, we are building a complete financial platform designed to empower people and concretely improve their lives. By giving our 6 million users a clear, open path to pay, save, and invest, we are evolving into the definitive destination for every financial need.What you'll be doingAs our Data Analyst - Analytics Engineering, you'll be the person who drives our data strategy and enhances decision-making by developing scalable data assets and AI-powered workflows. 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 like 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.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., Data Modelling & Mesh Expertise – Hands-on experience in data mode

📌 BI Analyst (Milano)
🏢 Satispay
📍 Milano