Data Analyst – Finance

Satispay; Milano; On-site; EUR 40,000 - 50,000; Full time

Benefits offered by this job

Private health insurance

Stock option plan

Unlimited PTO

Flexible working hours

Mental health support

Job summary

Satispay, based in Milano, Italy, is seeking a Data Analyst to join their Growth & Marketing team. In this role, you will leverage your analytical skills to drive financial decision-making by developing analytical models and reporting capabilities. Your expertise in financial data will be crucial in enhancing investor relationships and supporting strategic planning.

The position offers a hybrid working model, with three days in the office per week and benefits including health insurance, professional development programs, and unlimited PTO.

If you have over 5 years of relevant experience and thrive in dynamic settings, consider joining Satispay!

Qualifications

• 5+ years in data-related roles with at least 3 years in high-volume data environments.
• Hands-on experience in financial data modelling and analytics.
• Strong command of SQL, dbt, and Python required.

Responsibilities

• Develop financial analytics and reporting capabilities.
• Lead investor relations analytics and maintain relationships with investors.
• Build high-impact visualisation tools for financial insights.

Skills

Data Engineering

Data Analytics

Financial Data Modelling

SQL

Python

ETL Pipelines

Tools

SAP

dbt

Git

Looker

Hex

Job description

About us

Satispay 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.

What you'll be doing

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.

Here's what your day‑to‑day will look like:

• 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.
• Enhance Analytics Through AI‑Powered Workflows – 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.
• 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.

Who we're looking for

We 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!

• 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 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.
• Analytical & Problem‑Solving Skills – 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.
• 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.

Benefits

• 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.

Salary

€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.

Equal Opportunity Employer

At 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!