Data Analyst - Analytics Engineering
Pubblicato il 09-09-2026 - Satispay in Turbigo
ppSatispay 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. /p h3What You’ll Be Doing /h3 ul liLead 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. /li liDefine 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. /li liBuild High‑Impact Visualisation Tools – Define key metrics and develop dashboards and reports (using tools such as Hex or Looker) that communicate analytical insights effectively. /li liDrive 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. /li liPartner with Key Stakeholders – Act as a strategic partner for Marketing, Finance, Operations, and Product, bridging the gap between technical data and business goals. /li liDrive Testing Initiatives – Own the end‑to‑end testing pipeline, from opportunity identification to experiment design and recommendation delivery. /li /ul h3Who We’re Looking For /h3 ul liRelevant 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. /li liTechnical Proficiency – Strong command of SQL, dbt, and Python. Experience with Git and notebook‑based analytics (e.g., Jupyter) is a plus.
/li liData Modelling Mesh Expertise – Hands‑on experience in data modelling, ETL, data governance, and Data Mesh implementation at scale. /li liAI Fluency – Proven ability to work with AI tools, including prompting and context management, or interacting with agents programmatically via APIs. /li liAnalytical Problem‑Solving Skills – Comfortable with ambiguity, able to break down complex problems into focused workstreams and deliver evidence‑based answers. /li liStakeholder Management Communication – Able to independently lead initiatives across diverse business domains and translate technical findings into clear, actionable recommendations. /li liDigital Consumer Lifecycle Knowledge – Solid understanding of consumer lifecycle (Acquisition, Activation, Retention, Churn) and user economics (ARPU, CAC, LTV). /li /ul h3Benefits /h3 ul liHealth – Private insurance for you and your family, psychological support, mental health workshops. /li liFinancial Resources – Stock Option Plan, meal vouchers, relocation support if moving countries. /li liGrowth and Development – Professional development programs, internal mobility, language courses with Preply. /li liFlexibility – Unlimited PTO, hybrid working policy, flexible working hours. /li liFamily – Enhanced parental leave, additional leave for child sickness. /li liOffice Presence – Three days per week in‑office (Tuesday and Thursday plus one of your choice), with the option to request extra remote time. /li /ul h3Equal Opportunity Employer /h3 pAt Satispay, we’re proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless of race, colour, religion, sex, gender identity, sexual orientation, or national origin. /p /p #J-18808-Ljbffr