Data Analyst - Finance

About the role

This role is a core position within the Growth & Marketing team where you will own the data and analytics strategy for all Finance initiatives at Satispay. You will be responsible for building and maintaining the financial analytics infrastructure that powers critical business decisions across the organization. Your work will directly influence how Finance leaders interpret performance, manage budgets, and plan for the future. You will translate complex financial data into clear narratives and actionable insights for executive stakeholders. Ultimately, you will ensure that data drives smarter financial planning, reporting, and operational steering across the company.

Key facts

What you'll do

• Build Financial Analytics & Reporting Capabilities by developing 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 by serving 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 by acting as the primary data and analytics partner for Finance, while collaborating closely with Marketing, Operations, and Product to bridge the gap between financial data complexity and business decisions.
• Build High-Impact Visualisation Tools by defining key financial metrics and developing dashboards and reports that communicate financial insights effectively, empowering self-service across Finance and senior leadership.
• Drive Business Economics Analytics by partnering 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.
• Enhance Analytics Through AI-Powered Workflows by designing and implementing AI-assisted workflows to automate anomaly detection, surface budget deviations, and unlock efficiencies in the analytical processes supporting budgeting and re-forecasting.
• Contribute to Our Data Layer Evolution by contributing to the development of our data mesh layer as part of the broader G&M Analytics team effort, designing financial data models and pipelines that integrate into the company's federated data strategy.
• Ensure Data Governance and Quality by establishing and maintaining data standards, definitions, and documentation to ensure consistency, accuracy, and trust in financial data products across the organization.
• Support Strategic Decision Making by conducting ad-hoc analyses and deep dives that provide timely insights for budgeting, forecasting, pricing, and go-to-market decisions at the highest level.
• Collaborate Cross Functionally to ensure that data initiatives are aligned with business priorities, regulatory requirements, and operational constraints, facilitating smooth execution and adoption of analytics solutions.
• Mentor and upskill junior analysts and stakeholders on best practices for data interpretation, visualization, and storytelling to elevate the overall analytical maturity of the team.
• Own End-to-End Analytical Projects from initial requirements gathering through to delivery, ensuring that insights are robust, reproducible, and impactful for the business.

Requirements

• 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. Experience with Git and notebook-based analytics (e.g. Hex, Databricks, Jupyter) is a plus. 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.
• Analytical Rigor - Demonstrated ability to manage, manipulate, and interpret large datasets with accuracy and speed, ensuring high standards of quality and reliability.
• Communication Skills - Strong written and verbal communication skills, with the ability to translate technical findings into clear recommendations for non-technical stakeholders.
• Ownership and Accountability - A self-driven mindset with strong ownership, capable of managing multiple priorities in a fast-paced, dynamic environment.

Nice to have

• Experience with data visualization tools such as Tableau, Looker, or Power BI.
• Background in FinTech, payments, or financial services environments.
• Familiarity with data governance frameworks and data quality management practices.
• Knowledge of statistical analysis and experimentation methods.
• Experience with cloud data platforms such as Snowflake, BigQuery, or AWS Redshift.

Practical notes

This role is based in Milan, Italy, and is offered as a full-time employment position. The candidate must be available to work from the office in Milan. Candidates must possess the right to work in Italy. No specific travel or visa requirements are indicated for this position at this time. The data provided in this description is used solely for the assessment of candidate suitability for the role.