Data Analyst - Finance (L.68/99)

Satispay

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! Does this sound like you? * 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 Could 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. 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 Our values and pillars aren’t just fancy words on a page - they really shape everything we do. Explore them here. #LI-HYBRID #LI-VR1 By submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy

Satispay

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 our Data Analyst - Analytics Engineering, you’ll be the person who drives our data strategy and enhances decision-making by developing scalable data assets and AI-powered workflows. You will join the Growth & Marketing (G&M) B2C Analytics team, which sits at the heart of our department with the mission to put intelligence first in every decision. Here's what your day-to-day will look like: * Lead Design Data Architecture – Drive the development of the Data Mesh layer by designing robust data models and building pipelines that integrate into the company's federated data strategy, ensuring scalable and governed data ownership. * Define AI Agentic Workflows – Design and implement AI-powered agentic workflows for data transformation and exploration, accelerating analytical capabilities and enabling self-service for key stakeholders. * Build High-Impact Visualisation Tools – Define key metrics and develop dashboards and reports (using tools like Hex or Looker) that communicate analytical insights effectively. * Drive Decision-Making Through Data – Analyse complex datasets to identify patterns impacting the consumer funnel (Acquisition, Engagement, Retention, Monetisation) and partner with Marketing Managers to maximise ROI. * Partner with Key Stakeholders – Act as a strategic partner for Marketing, Finance, Operations, and Product, bridging the gap between technical data and business goals. * Drive Testing Initiatives – Own the end-to-end testing pipeline, from opportunity identification to experiment design and recommendation delivery. Who we're looking for We need a problem-solver who loves teamwork and gets things done. If you're curious and ready for real ownership, you'll fit in! Does this sound like you? * Relevant Experience – 5+ years in data-related roles (Data Engineering, Analytics, BI) with at least 3 years of hands-on experience in high-volume or big data environments. * Technical Proficiency – Strong command of SQL, dbt, and Python. Experience with Git and notebook-based analytics (e.g., Jupyter) is a plus. * Data Modelling & Mesh Expertise – Hands-on experience in data modelling, ETL, data governance, and Data Mesh implementation at scale. * 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 problems into focused workstreams and deliver evidence-based answers. * Stakeholder Management & Communication – Able to independently lead initiatives across diverse business domains and translate technical findings into clear, actionable recommendations. * Digital Consumer Lifecycle Knowledge – Solid understanding of consumer lifecycle (Acquisition, Activation, Retention, Churn) and user economics (ARPU, CAC, LTV). 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 - €54,000 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 Our values and pillars aren’t just fancy words on a page - they really shape everything we do. Explore them here. #LI-VR1 #LI-HYBRID By submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy

Heritage Holdings

WHO WE ARE Heritage is a modern global investment office built by a collective of respected families and entrepreneurs with over a century of business-building experience. We provide privileged access to top-performing alternative assets, superior portfolio construction, and a technology-enabled open architecture platform connecting clients to some of the world’s most exclusive opportunities. We believe in mastery. Our investment team brings direct experience from leading private equity and venture capital institutions, supported by a proprietary assessment methodology and one of the industry’s most comprehensive data sets. We believe in alignment. We invest alongside our clients with real skin in the game, applying the same rigorous standards used for the founding families. We believe in technology. Our advanced digital platform centralizes, tracks, and benchmarks investments across providers and asset classes, enabling better outcomes at scale. Our leadership comes from firms such as Apax, Hg, Hellman & Friedman, Carlyle, Advent, Summit Partners, Goldman Sachs, JP Morgan, McKinsey, Revolut, and N26. YOUR ROLE As an Investment Analyst, you will support the full investment lifecycle and work closely with the investment team to source, evaluate, and execute opportunities across Buyout, Growth, and Venture Capital. Your responsibilities will include: * Sourcing new opportunities and building relationships with entrepreneurs, fund managers, and ecosystem partners * Supporting market, financial, and commercial due diligence * Building financial models and contributing to investment memoranda * Conducting thematic market research and developing investment theses * Assisting with portfolio monitoring and follow-up analysis * Supporting internal initiatives such as fund strategy, LP reporting * Collaborating with cross-functional teams across the firm This is a high-ownership role with substantial exposure to both internal leadership and external stakeholders. ABOUT YOU * Up to 2 years of experience in fund-of-funds investing, investment banking, private equity, venture capital, consulting, or a high-growth startup * Strong academic background in finance, economics, engineering, business, or another analytical field * Solid analytical and financial modelling skills * Excellent written and verbal communication skills * Proactive, entrepreneurial mindset with strong ownership * Proficiency in Excel and PowerPoint; familiarity with Preqin, PitchBook, or similar tools is a plus * Passion for investing and private markets WHAT WE OFFER * Work alongside top-tier professionals from institutions such as Apax, Hg, Hellman & Friedman, Carlyle and leading global family offices * Direct exposure to fund managers, entrepreneurs, investors, and senior leadership * An ambitious, collaborative, and high-performance culture * Real responsibility from day one in a fast-moving environment * Quarterly team offsites * Clear growth paths and expanding responsibility as you develop At Heritage, we are proud to have a diverse team representing over 15 nationalities, with all communication conducted in English. We are deeply committed to providing equal opportunities and work actively to remove potential biases in our hiring process by involving a Hiring Committee in all decision-making. By applying to this job offer, you confirm that you have read and understood Heritage's privacy policy: http://bit.ly/privacypolicy121.