Data Analyst - Analytics Engineering

About us Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. 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 doing As 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. You will join the Growth & Marketing (G&M) B2C Analytics team, which sits at the heart of our department with the mission to put intelligence first in every decision. Here's what your day-to-day will look like: - 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. Who we're looking for We need a problem-solver who loves teamwork and gets things done. If you're curious and ready for real ownership, you'll fit in! Does this sound like you? - 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 programmatically via APIs. - Analytical & Problem-Solving Skills – Comfortable with ambiguity, able to break down complex problems into focused workstreams and deliver evidence-based answers. - Stakeholder Management & Communication – Able to independently lead initiatives across diverse business domains and translate technical findings into clear, actionable recommendations. - Digital Consumer Lifecycle Knowledge – Solid understanding of consumer lifecycle (Acquisition, Activation, Retention, Churn) and user economics (ARPU, CAC, LTV). CareAbout: how we support your impact We move fast, and evolution never stops. It’s a fun ride, but it can be challenging. To make sure our people truly thrive, we’re committed to making their lives easier, both in the office and out in the world. That’s why we created CareAbout: ❤️ Health (Private insurance for you and your family, psychological support with Serenis, mental health workshops) 💰 Financial resources (Stock Option Plan, Meal vouchers, Relocation support if you’re moving countries) ⚙️ Growth and development (Professional development programs, Internal mobility, Language courses with Preply) 🌱 Flexibility (Unlimited PTO, Hybrid working policy*, Flexible working hours) 👨‍👩‍👧 Family (Enhance...