Data analyst
Pubblicato il 30-08-2026 - Satispay in Italia
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.
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 implementation at scale. AI Fluency – Proven ability to work with AI tools, including prompting and context management, or interacting with agents programmatical