Data Analyst - Finance at satispay. About the role Become an integral part of the Growth & Marketing team as the analytics lead focused on finance-related projects. In this role, you will influence financial planning, reporting, and operational strategies by creating analytical models and self-service data tools. Additionally, you will act as the key intelligence partner for investor relations, translating business performance into compelling narratives for leading venture capital firms.

Key facts

- Location: Milan, Italy
- Engagement: Full-time
- Compensation: 40,000 to 50,000 EUR gross per year
- Team: Growth & Marketing
- Workplace: Hybrid

What you'll do

- Develop comprehensive P&L; and cash flow analytics, along with models for monitoring plan versus actual performance and financial KPIs to facilitate effective business management.
- Serve as the primary analytics liaison for investor relations, crafting data-driven narratives that communicate performance insights to venture capital stakeholders.
- Collaborate across Finance, Marketing, Operations, and Product teams to transform intricate financial data into actionable recommendations for executives.
- Establish essential financial metrics and create dashboards that empower self-service reporting capabilities for Finance and senior leadership.
- Construct analytical frameworks that cover monetization strategies, unit economics, customer lifetime value (LTV), payback periods, cost structures, and revenue drivers.
- Innovate AI-assisted workflows to automate the detection of anomalies, highlight budget discrepancies, and enhance budgeting and re-forecasting processes.
- Contribute to the data mesh architecture by designing financial data models and pipelines that align with the company's federated data strategy.




- Engage in continuous improvement initiatives to refine data processes and enhance the overall efficiency of financial analytics.

Requirements

- A minimum of 5 years of experience in data-centric roles, including Data Engineering, Data Analytics, and Business Intelligence.
- At least 3 years of experience in environments that handle high volumes of data.
- Proven hands-on experience in financial data modeling, with a solid grasp of P&L; structures, cash flow analytics, and monitoring plan versus actual performance.
- Proficient in SQL, dbt, and Python.
- Demonstrated ability to design data models, construct ETL pipelines, and manage transformation layers at scale.
- Comfortable utilizing AI tools on a daily basis for analytics, automation, ad-hoc analyses, executive summaries, and business case development.
- Capable of dissecting complex financial challenges into manageable workstreams and providing evidence-based solutions.
- Strong stakeholder management abilities, with a track record of independently leading initiatives across Finance and Marketing domains.
- Familiarity with consumer lifecycle metrics, including Acquisition, Activation, Retention, and Monetization, as well as user economics such as ARPU, CAC, LTV, and Payback Period.
- Experience with data visualization tools like Hex, Looker, or similar platforms.

Nice to have

- Previous experience in or closely collaborating with Finance, Financial Planning & Analysis (FP&A;), or Controlling functions.
- Understanding of ERP data schemas, particularly SAP,



and the ability to model and transform financial data for analytical purposes.
- Familiarity with Git and notebook-based analytics tools such as Hex, Databricks, or Jupyter.
- Knowledge of SAP Public Cloud.
- Basic to intermediate proficiency with Claude.
- Experience interacting with AI agents programmatically through APIs.
- Background knowledge of Fintech-specific KPIs and industry dynamics.

Skills & tools

- SQL, dbt, Python
- Git, notebook-based analytics (Hex, Databricks, Jupyter)
- Hex, Looker, or similar visualization tools
- AI tools and agents for analytics automation
- ERP systems (SAP)

Practical notes

- The role offers a hybrid work schedule, requiring three days in the office each week (Tuesdays and Thursdays, plus one additional day of your choice), with the possibility to request more remote work days.
- Enjoy unlimited paid time off (PTO) and flexible working hours.
- Agevolazioni from private health insurance for you and your family.
- Access psychological support through Serenis and participate in mental health workshops.
- Participate in a Stock Option Plan and receive meal vouchers.
- Relocation assistance is available for candidates moving from other countries.
- Engage in professional development programs, internal mobility opportunities, and language courses through Preply.
- Take advantage of enhanced parental leave policies and additional leave for child-related illnesses.
- This job posting is primarily aimed at candidates eligible under Italian law L.68/99 (individuals with disabilities or other protected statuses), though all applicants are encouraged to apply.
- Final salary may be adjusted based on the candidate's experience and expertise beyond the standard profile.

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