Data Analyst – Finance

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/792496

ph3About us /h3 pSatispay 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 h3What you'll be doing /h3 pAs a bData Analyst /b, you will be a core member of our bGrowth Marketing (GM) team /b, taking the data and analytics lead on all Finance initiatives. You’ll play a key role in enhancing decision‑making by developing analytical models and self‑service data assets that drive impactful solutions for financial planning, reporting, and operational steering. /p pHere's what your day‑to‑day will look like: /p ul libBuild Financial Analytics Reporting Capabilities /b – Develop PL and cash flow analytics, plan vs. actual monitoring models, and financial KPI frameworks that enable Finance to steer the business with accurate, timely data. /li libLead Investor Relations Analytics /b – Serve as the primary analytics and intelligence partner for Satispay’s investors including top‑tier VC firms, translating business performance into clear, data‑driven narratives that maintain and strengthen those relationships. /li libPartner with Key Stakeholders /b – Act as the primary data and analytics partner for Finance, while collaborating closely with Marketing, Operations, and Product. Bridge the gap between financial data complexity and business decisions, translating technical findings into clear, actionable recommendations at the executive level. /li libBuild High‑Impact Visualisation Tools /b – Define key financial metrics and develop dashboards and reports that communicate financial insights effectively, empowering self‑service across Finance and senior leadership. /li libDrive Business Economics Analytics /b – Partner with Finance to develop analytical frameworks across monetisation, unit economics, LTV, payback period, cost structure, and revenue drivers, bridging product performance and financial outcomes to support strategic planning. /li libEnhance Analytics Through AI‑Powered Workflows /b – Design and implement AI‑assisted workflows to automate anomaly detection, surface budget deviations,



and unlock efficiencies in the analytical processes supporting budgeting and re‑forecasting. /li libContribute to Our Data Layer Evolution /b – As part of the broader GM Analytics team effort, contribute to the development of our data mesh layer by designing financial data models and pipelines that integrate into the company’s federated data strategy, ensuring scalable and governed data ownership. /li /ul h3Who we're looking for /h3 pWe need a problem‑solver with a strong analytical mindset who thrives in a collaborative environment. If you’re detail‑oriented and ready to take ownership in a dynamic setting, you’ll fit right in! /p ul libRelevant Experience /b – 5+ years in data‑related roles spanning Data Engineering, Data Analytics, and BI, with at least 3 years of hands‑on experience in high‑volume data environments. Experience working in or closely with Finance, FPA or Controlling functions is a strong plus. /li libFinancial Data Expertise /b – Hands‑on experience in financial data modelling, with a solid understanding of PL structures, cash flow analytics, and plan vs. actual monitoring. Familiarity with ERP data schemas (e.g. SAP) and the ability to model and transform financial data for analytical use is highly valued. /li libTechnical Proficiency /b – Strong command of SQL, dbt, and Python. Experience with Git and notebook‑based analytics (e.g. Hex, Databricks, Jupyter) is a plus. Knowledge of SAP Public Cloud is also a plus. /li libData Modelling ETL /b – Proven experience designing data models, building ETL pipelines, and managing data transformation layers at scale, ideally in environments with high‑volume, high‑frequency financial data. /li libAI 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. /li libAnalytical Problem‑Solving Skills /b – Comfortable with ambiguity, able to break down complex financial problems into focused workstreams and deliver evidence‑based answers. Takes end‑to‑end ownership of analytical projects: from problem framing to stakeholder recommendations, monitoring business impact throughout. /li libStakeholder Management Communication /b – Able to independently lead initiatives across Finance and Marketing domains, efficiently translating technical findings into clear, actionable recommendations for senior stakeholders. /li libUnit Economics Monetisation Knowledge /b – Familiarity with consumer lifecycle metrics (Acquisition, Activation, Retention, Monetisation) and user economics (ARPU, CAC, LTV, Payback Period) approached from a financial planning and user‑value lens. Experience with Fintech‑specific KPIs and sector dynamics is a strong plus. /li libData Visualisation /b – Experience with Hex, Looker, or similar tools to build clear and insightful financial data representations. /li /ul h3Benefits /h3 ul liHealth – Private insurance for you and your family, psychological support with Serenis, mental health workshops. /li liFinancial resources – Stock Option Plan, Meal vouchers, Relocation support if you’re 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 /ul p* We embrace three days per week in‑office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time. /p h3Salary /h3 p€40,000.00 – €50,000.00 gross per annum. This range is set using objective, gender‑neutral criteria for the role’s core requirements. The final compensation package is tailored according to your unique experience and expertise. /p 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, and national origin. Join us in a workplace where everyone belongs! /p /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/792496