Today, we are building a complete financial platform designed to empower people and concretely improve their lives. As a Data Analyst , you will be a core member of our Growth & Marketing (G&M;) team , 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.

Build Financial

Analytics & Reporting Capabilities – Develop P&L; and cash flow analytics, plan vs. actual monitoring models, and financial KPI frameworks that enable Finance to steer the business with accurate, timely data.

Lead Investor Relations

Analytics – 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. Partner with Key Stakeholders – 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.

Build

High‑Impact Visualisation Tools – Define key financial metrics and develop dashboards and reports that communicate financial insights effectively, empowering self‑service across Finance and senior leadership.

Drive Business Economics

Analytics – 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. Contribute to Our Data Layer Evolution – As part of the broader G&M; 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.

Relevant

Experience – 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, FP&A; or Controlling functions is a strong plus.

Financial Data

Expertise – Hands‑on experience in financial data modelling, with a solid understanding of P&L; 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.

Technical

Proficiency – Strong command of SQL, dbt, and Python. Knowledge of SAP Public Cloud is also a plus. Data Modelling & ETL – 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.





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. Takes end‑to‑end ownership of analytical projects: from problem framing to stakeholder recommendations, monitoring business impact throughout.

Stakeholder

Management & Communication – Able to independently lead initiatives across Finance and Marketing domains, efficiently translating technical findings into clear, actionable recommendations for senior stakeholders. Unit Economics & Monetisation Knowledge – 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. Data Visualisation – Experience with Hex, Looker, or similar tools to build clear and insightful financial data representations. 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.

📌 Data Analyst - Finance (Milano)
🏢 Satispay
📍 Milano