Data Analyst Analytics Engineering

Satispay

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profile Job Location:

milan - Italy

profile Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

About us
Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. But we didnt 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 youll be doing
As our Data Analyst - Analytics Engineering youll 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. Heres 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 companys 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 were looking for
We need a problem-solver who loves teamwork and gets things done. If youre curious and ready for real ownership youll 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. Its a fun ride but it can be challenging. To make sure our people truly thrive were committed to making their lives easier both in the office and out in the world. Thats 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 youre 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.

Equal Opportunity Employer
At Satispay were 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
Our values and pillars arent just fancy words on a page - they really shape everything we do. Explore them here.

#LI-VR1
#LI-HYBRID

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About usSatispay began by rethinking the simple act of a payment to remove the friction from our daily routines. But we didnt 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...
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Satispay: l'app per i pagamenti di tutti i giorni. Scopri i servizi per pagare e risparmiare, gli strumenti per il Business e i prodotti Welfare per aziende.

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