Data Analyst - Analytics Engineering

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7f0nra

ph3About us /h3 /brpSatispay 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. /p /brh3What you'll be doing /h3 /brpAs our Data Analyst - Analytics Engineering, you’ll be the person who bdrives our data strategy and enhances decision‑making /b by developing scalable data assets and AI‑powered workflows. You will join the bGrowth Marketing /b (bB2C /b) bAnalytics team /b, 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: /p /brul /brlipbLead Design Data Architecture /b – 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. /p /li /brlipbDefine AI Agentic Workflows /b – Design and implement AI‑powered agentic workflows for data transformation and exploration, accelerating analytical capabilities and enabling self‑service for key stakeholders. /p /li /brlipbBuild High‑Impact Visualisation Tools /b – Define key metrics and develop dashboards and reports (using tools like Hex or Looker) that communicate analytical insights effectively. /p /li /brlipbDrive Decision‑Making Through Data /b – Analyse complex datasets to identify patterns impacting the consumer funnel (Acquisition, Engagement, Retention, Monetisation) and partner with Marketing Managers to maximise ROI. /p /li /brlipbPartner with Key Stakeholders /b – Act as a strategic partner for Marketing, Finance, Operations, and Product, bridging the gap between technical data and business goals. /p /li /brlipbDrive Testing Initiatives /b – Own the end‑to‑end testing pipeline, from opportunity identification to experiment design and recommendation delivery.



/p /li /br /ul /brh3Who we're looking for /h3 /brpWe 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? /p /brul /brlipbRelevant Experience /b – 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. /p /li /brlipbTechnical Proficiency /b – Strong command of SQL, dbt, and Python. Experience with Git and notebook‑based analytics (e.g., Jupyter) is a plus. /p /li /brlipbData Modelling Mesh Expertise /b – Hands‑on experience in data modelling, ETL, data governance, and Data Mesh implementation at scale. /p /li /brlipbAI Fluency /b – 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 is a strong plus. Experience interacting with agents programmatically via APIs is a plus. /p /li /brlipbAnalytical Problem‑Solving Skills /b – Comfortable with ambiguity, able to break down complex problems into focused workstreams and deliver evidence‑based answers. /p /li /brlipbStakeholder Management Communication /b – Able to independently lead initiatives across diverse business domains and translate technical findings into clear, actionable recommendations. /p /li /brlipbDigital Consumer Lifecycle Knowledge /b – Solid understanding of consumer lifecycle (Acquisition, Activation, Retention, Churn) and user economics (ARPU, CAC, LTV). /p /li /br /ul /brh3CareAbout:



how we support your impact /h3 /brpWe 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: /p /brpbHealth /b (Private insurance for you and your family, psychological support with Serenis, mental health workshops) /p /brpbFinancial resources /b (Stock Option Plan, Meal vouchers, Relocation support if you’re moving countries) /p /brpbGrowth and development /b (Professional development programs, Internal mobility, Language courses with Preply) /p /brpbFlexibility /b (Unlimited PTO, Hybrid working policy*, Flexible working hours) /p /brpbFamily /b (Enhanced parental leave, Additional leave for child sickness) /p /brp* We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time. /p /brh3Salary: /h3 /brp€40,000 - €54,000 gross per annum /p /brpThis range is set using objective, gender‑neutral criteria for the role's core requirements. However, bwe do not believe in putting a ceiling on talent. /bThe 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. /p /brh3Equal opportunity employer /h3 /brpAt 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! /p /brh3Learn more about us /h3 /brpOur values and pillars aren’t just fancy words on a page - they really shape everything we do. Explore them here. /p /brp#LI-VR1 #LI-HYBRID /p /brpBy submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy /p /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7f0nra