About us
Traditional banking has never really given you control over your financial life. Satispay exists to change that: to empower people through finance.
That means making financial services easy and accessible for over 6.5M users. We started with payments, then benefits, investing, cards... and we’re not done. Not even close.
We follow the same logic every time: find a real problem, solve it properly, then look for the next one. The destination? To build the most loved financial platform in the world.
If you own outcomes rather than tasks, stay close to what users need, and refuse to wait for someone else to fix what's broken — you'll find people here who work exactly in the same way. And together, you'll build something worth being proud of.
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, playing 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 that looks like in practice:
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, bridging the gap between financial data complexity and business decisions and translating technical findings into clear recommendations.
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 - 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
This role needs someone with a strong analytical mindset who thrives in a collaborative environment, is detail-oriented, and is ready to take real ownership in a dynamic setting.
Relevant Experience - 4+ years in data-related roles spanning Data Analytics, and BI, with at least 2 years of hands-on experience in high-volume data environments.
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 like SAP and transforming financial data is highly valued).
Technical Proficiency - Strong command of SQL. Experience with Git and notebook-based analytics such as Jupyter is a plus.
Data Modelling & ETL - Proven experience designing data models, building ETL pipelines, ideally in high-volume, high-frequency financial data environments.
AI Fluency - Comfortable using AI tools day-to-day for analytics, automation, and generating ad-hoc analyses, C-level summaries, and business cases efficiently (proficiency with Claude is a strong plus).
Analytical & Problem-Solving Skills - Comfortable with ambiguity, able to break down complex financial problems into focused workstreams, and deliver evidence-based answers with end-to-end ownership.
Stakeholder Management & Communication - Able to independently lead initiatives across Finance and Marketing domains, efficiently translating technical findings into clear, actionable recommendations.
Unit Economics & Monetisation Knowledge - Familiarity with consumer lifecycle metrics (Acquisition, Activation, Retention, Monetisation) and user economics (ARPU, CAC, LTV, Payback Period) from a financial planning lens (Fintech-specific KPIs are a strong plus).
Data Visualisation - Experience with Hex, Looker, or similar tools to build clear and insightful financial data representations.
Don't worry if you don't tick every box. We believe in the power of different viewpoints and strengths. Your unique perspective is important as we build something special: if you're passionate and can make a difference, we truly encourage you to apply.
CareAbout: how we support your impact
We move fast, and evolution never stops. It’s a fun ride, but it can be challenging. To make sure our people truly thrive, we’re committed to making their lives easier, both in the office and out in the world. That’s why we created CareAbout:
❤️ 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. However, we do not believe in putting a ceiling on talent. The final compensation package is tailored according to your unique experience and expertise. If your skills go beyond the standard profile, apply anyway so we can discuss a package that reflects your true value.
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 - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs!
Learn more about us
Curious what it's actually like here? Our values and pillars shape how we work every day: explore them here.
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Skills Required
- 5+ years in data-related roles (Data Engineering, Data Analytics, BI)
- At least 3 years hands-on experience in high-volume data environments
- Hands-on experience in financial data modelling (P&L, cash flow, plan vs actual)
- Strong command of SQL, dbt, and Python
- Proven experience designing data models, building ETL pipelines, and managing data transformation layers at scale
- Comfortable using AI tools day-to-day for analytics and automation
- Experience working with Finance, FP&A or Controlling functions (or closely with them)
- Familiarity with ERP data schemas (e.g., SAP)
- Experience with Git and notebook-based analytics (Hex, Databricks, Jupyter)
- Basic to mid-level proficiency with Claude or similar LLM tools; experience interacting with agents via APIs
- Experience building dashboards and visualisations with Hex, Looker, or similar tools
- Knowledge of unit economics, monetisation, LTV, ARPU, CAC and related financial KPIs
Satispay Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Satispay and has not been reviewed or approved by Satispay.
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Equity Value & Accessibility — Stock options are granted to all permanent employees with performance-based top-ups, broadening access to ownership. This structure can elevate total compensation beyond base salary.
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Flexible Benefits — A flexible benefits budget in Italy and meal vouchers, alongside relocation support, add tangible, locally relevant value to compensation. These choice-based elements can materially boost take-home value where available.
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Leave & Time Off Breadth — Unlimited paid time off and flexible hours expand time-away and scheduling options. Enhanced parental leave and extra time off for a child’s illness further broaden leave coverage.
Satispay Insights
What We Do
Satispay is a financial platform built around a simple idea: empowering people through finance by bringing your everyday finances into one place. You can pay, save, and invest from a single app, without the complexity that usually comes with financial services. We started in 2015 as a payment network, became an Italian unicorn in 2022, and have kept expanding ever since - into corporate welfare, Buy Now Pay Later, and investing, with debit cards in partnership with Mastercard marking our natural evolution toward banking. Today 6.5 million people and 450,000+ affiliated stores use Satispay: proof of what making financial services accessible to everyone looks like in practice, whether you're paying, getting paid, or managing welfare for a company. Our goal is straightforward: building the most loved platform in the world for managing your financial life. Behind it is a team of 750+ talented people across Europe, and we're still growing. If you'd like to be part of it, take a look at our open roles: https://jobs.ashbyhq.com/satispay?utm_source=ebli
Why Work With Us
Satispay is building the most loved financial platform in the world. 6.5M people and 450,000 shops already run on it. Everyone here holds stock options, so you own a piece of what you build. It's fast and not for everyone. If you want a comfortable seat, skip us. If you want your work to reach millions, come.
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