Data Analyst - Analytics Engineering
Pubblicato il 28-08-2026 - Satispay in Milano
About us
Traditional banking has never really given you control over your financial life. Satispay exists to change that: to empower people through finance.
That means making financial services easy and accessible for over 6.5M users. We started with payments, then benefits, investing, cards... and we’re not done. Not even close.
We follow the same logic every time: find a real problem, solve it properly, then look for the next one. The destination? To build the most loved financial platform in the world.
If you own outcomes rather than tasks, stay close to what users need, and refuse to wait for someone else to fix what's broken — you'll find people here who work exactly in the same way. And together, you'll build something worth being proud of.
What you'll be doing
As our Data Analyst - Analytics Engineering, you'll own driving our data strategy and enhancing decision-making by developing scalable data assets and AI-powered workflows within the Growth & Marketing (G&M;) B2C Analytics team.
Here's what that looks like in practice:
- 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
This role needs someone who is a problem-solver, loves teamwork, and gets things done with a high degree of curiosity and readiness for real ownership.
- 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 - Comfortable using AI tools day-to-day for analytics, automation, and generating ad-hoc analyses, C-level summaries, marketing campaign suggestions, and business cases efficiently using AI agents (basic to mid-level proficiency with Claude and API interactions are a strong plus).
- 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).
Don't worry if you don't tick every box. We believe in the power of different viewpoints and strengths.
Your unique perspective is important as we build something special: if you're passionate and can make a difference, we truly encourage you to apply.
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: enhanced parental leave, additional leave for child sickness.
* We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.
Salary: €40,000 - €54,000 gross per annum
This range is set using objective, gender-neutral criteria for the role's core requirements. However, we do not believe in putting a ceiling on talent. The final compensation package is tailored according to your unique experience and expertise. If your skills go beyond the standard profile, apply anyway so we can discuss a package that reflects your true value.
Equal opportunity employer
At 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 - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs!
Learn more about us
Curious what it's actually like here? Our values and pillars shape how we work every day: explore them here.
#LI-VR1
#LI-HYBRID
By submitting this application, I acknowledge that I have read and understood the content of the