Satispay

Data Analyst - Growth &amp; MarketingAbout usTraditional 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 doingAs our Data Analyst, you'll be a key member of our Growth &amp; Marketing (G&amp;M) team, putting data and intelligence first to drive real business impact, from user acquisition and engagement to retention and monetisation. Here's what that looks like in practice:<ul><li>Drive Decision-Making Through Data - Analyse complex datasets to identify patterns impacting the consumer funnel (Acquisition, Engagement, Retention, Monetisation). Partner with Marketing Managers and other stakeholders to deliver in-depth analysis across the full product lifecycle to maximise ROI.</li><li>Partner with Key Stakeholders - Act as a strategic partner for Marketing, Finance, Operations, and Product, bridging the gap between technical data and business goals and translating complex analysis into clear, executive-level recommendations.</li><li>Build High-Impact Visualisation Tools - Define key metrics and develop dashboards and reports that communicate analytical insights effectively, empowering stakeholder self-sufficiency.</li><li>Contribute to Data-Mesh - Actively work on the development of the federated data layer by designing robust data models and building pipelines that integrate into the company's data strategy, ensuring scalable and governed data ownership.</li><li>Promote Agentic Analytics - Contribute to the enrichment and adoption of AI-powered agentic workflows for data transformation and exploration, accelerating analytical capabilities and enabling self-service for key stakeholders.</li><li>Drive Testing Initiatives - Own the end-to-end testing pipeline, from opportunity identification to experiment design and recommendation delivery, operating effectively in a fast-paced environment.</li></ul>Who we're looking forThis role needs someone who is a problem-solver with a strong analytical mindset, who is detail-oriented, and ready to take ownership in a dynamic, collaborative environment.<ul><li>Relevant Experience - 4 years in data-related roles spanning across Business Intelligence, Business Analytics, or Analytics Engineering, with hands-on experience in high-volume, or big data environments.</li><li>Data Modelling &amp; Data Mesh Expertise - Hands-on experience in data modelling, ETLs and data transformation layers. Real world exposure to Data Mesh and contributive data ecosystems is a plus.</li><li>Technical Proficiency - Strong command of SQL and Git. Experience with dbt and notebook-based analytics (e.g. HEX, Databricks, Jupyter) is a plus.</li><li>Analytical &amp; Problem-Solving Skills - Comfortable with ambiguity, able to break down complex problems into unit workstreams and deliver evidence-based answers. Takes end-to-end ownership of analytical projects.</li><li>Data Visualisation - Experience with HEX, Looker, or similar reporting tools to build clear and insightful reports for both exec-level and operational teams.</li><li>Stakeholder Management &amp; Communication - Able to independently lead initiatives across diverse business domains, efficiently translating technical findings into clear, actionable recommendations.</li><li>AI Fluency - Proven ability to work with AI tools as coworkers, including prompting and context management, ideally applied to data and business analytics, or automation.</li><li>Digital Consumer Lifecycle Knowledge - Sharp understanding of consumer lifecycle (Acquisition, Activation, Monetisation, Retention) and unit economics (LTV, CAC, ARPU).</li></ul>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:<ul><li>❤️ Health: private insurance for you and your family, psychological support with Serenis, mental health workshops.</li><li>💰 Financial resources: Stock Option Plan, meal vouchers, relocation support if you’re moving countries.</li><li>⚙️ Growth and development: professional development programs, internal mobility, language courses with Preply.</li><li>🌱 Flexibility: unlimited PTO, hybrid working policy*, flexible working hours.</li><li>👨‍👩‍👧 Family: enhanced parental leave, additional leave for child sickness.</li></ul>*We embrace two days per week in-office (Tuesday and Thursday), with the option to request extra remote time.Salary: €43.000 - €50.000 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 Curious what it's actually like here? Our values and pillars shape how we work every day:<a target="_blank" rel="noopener noreferrer ugc" href="https://www.satispay.com/en-it/work-at-satispay/"> explore them here</a>.#LI-HYBRID #LI-VR1By submitting this application, I acknowledge that I have read and understood the content of the <a target="_blank" rel="noopener noreferrer ugc" href="https://www.satispay.com/en-it/legal-hub/privacy-policy/candidates/">Privacy Policy</a>

Data Analyst - Growth & Marketing

Senior Data Analyst - ProductAbout usTraditional 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 doingHere's what that looks like in practice:<ul><li>Own the Domain’s Data - Define, maintain, and evolve the KPI framework for the domain across all pods (activation, adoption, usage, retention, monetisation, risk and cost signals), ensuring the team always has a reliable, shared view of how our products perform.</li><li>Turn Behaviour into Insight - Run deep dives on user behaviour across funnels and product journeys to identify drop-offs, usage patterns, and unmet needs, then translate them into clear, prioritised recommendations for Product.</li><li>Drive Experimentation - Partner with PMs and Designers to shape the experimentation roadmap by defining hypotheses, success and guardrail metrics, sample sizes, and test design, then run the readouts and make sure learnings feed back into the roadmap.</li><li>Support Product Decisions End to End - Size opportunities, build business cases, and measure post-launch impact on new features and releases, closing the loop between what we ship and the outcomes it delivers.</li><li>Build Monitoring &amp; Self-Service Tools - Develop dashboards and reports (Hex, Looker, or similar) that give Product, Operations, and leadership real-time visibility on launches, performance, and anomalies, without needing to ask for a query.</li><li>Partner with Key Stakeholders - Work daily with Product, Design, Engineering, and Operations to translate complex data into clear, actionable recommendations, up to the executive level.</li><li>Enhance Analytics Through AI-Powered Workflows - Design and implement AI-assisted workflows to automate recurring analyses, anomaly detection, and reporting, and to speed up ad-hoc exploration.</li></ul>Who we're looking forThis role needs someone who is a product-minded analyst with a strong analytical mindset, who thrives in a collaborative, fast-moving environment, is detail-oriented, and is ready to take full ownership of a domain’s data.<ul><li>Relevant Experience - 4+ years in product analytics, data analytics, or BI roles, ideally embedded in a product team within a consumer app, fintech, or payments environment, with hands-on experience in high-volume, high-frequency event data.</li><li>Product Analytics Expertise - Solid command of funnel, cohort, retention, and segmentation analysis, and of consumer lifecycle metrics (Acquisition, Activation, Retention, Monetisation). Experience with Fintech-specific KPIs and sector dynamics is a strong plus.</li><li>Experimentation - Proven experience designing and analysing A/B tests: hypothesis definition, power and sample size, guardrail metrics, statistical significance, and clear readouts to non-technical stakeholders.</li><li>Technical Proficiency - Strong command of SQL and Python for analysis. Experience with dbt, Git, and notebook-based analytics (e.g. Hex, Databricks, Jupyter) is a plus.</li><li>Data Visualisation - Experience with Hex, Looker, or similar tools to build clear, self-service dashboards and monitoring.</li><li>AI Fluency - Comfortable using AI tools day-to-day for analytics, automation, ad-hoc analyses, and executive summaries. Basic to mid-level proficiency with Claude and experience interacting with agents programmatically via APIs is a strong plus.</li><li>Analytical &amp; Problem-Solving Skills - Comfortable with ambiguity, able to break down complex product questions into focused workstreams, taking end-to-end ownership of analytical projects from problem framing to recommendation.</li><li>Stakeholder Management &amp; Communication - Able to work independently with cross-functional teams and to translate technical findings into clear, actionable recommendations for senior stakeholders.</li></ul>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:<ul><li>❤️ Health: private insurance for you and your family, psychological support with Serenis, mental health workshops.</li><li>💰 Financial resources: Stock Option Plan, meal vouchers, relocation support if you’re moving countries.</li><li>⚙️ Growth and development: professional development programs, internal mobility, language courses with Preply.</li><li>🌱 Flexibility: unlimited PTO, hybrid working policy*, flexible working hours.</li><li>👨‍👩‍👧 Family: enhanced parental leave, additional leave for child sickness.</li></ul>*We embrace two days per week in-office (Tuesday and Thursday), with the option to request extra remote time.Salary: €51.000- €58.000 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 Curious what it's actually like here? Our values and pillars shape how we work every day: <a target="_blank" rel="noopener noreferrer ugc" href="https://www.satispay.com/en-it/work-at-satispay/">explore them here</a>.#LI-HYBRID #LI-VR1By submitting this application, I acknowledge that I have read and understood the content of the <a target="_blank" rel="noopener noreferrer ugc" href="https://www.satispay.com/en-it/legal-hub/privacy-policy/candidates/">Privacy Policy</a>

Senior Data Analyst - Product

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 doingAs our Analytics Engineer, you'll be the analytical backbone of this ecosystem, combining deep technical craft with strong business partnership to build core data products. Here's what that looks like in practice:<ul><li>Own critical products end-to-end - Manage the full lifecycle of warehouse data products and straightforward ingestions, ensuring lineage, PII handling, and auditability are foundational.</li><li>Enable the Data Mesh - Maintain shared dimensional models and central semantic metrics so definitions are registered once and consumed seamlessly across domains.</li><li>Automate regulatory reporting - Build and maintain the robust, highly auditable data models required to automate complex compliance reporting.</li><li>Partner on platform &amp; agentic infrastructure - Guide shared warehouse infrastructure alongside the Data Platform team, and contribute the vital context that internal warehouse maintenance agents depend on.</li><li>Refuse to be a bottleneck - Intervene proactively when you are the sole holder of knowledge, sharing it through rigorous documentation and code review.</li></ul>Who we're looking forThis role needs someone with a data product owner mindset who thinks beyond the pipeline to the end user, focusing on the decisions they need to make and how the data product unlocks value.<ul><li>Technical mastery - Expert in SQL; proficient in Python for scripting, and pipeline work. You are a strong data modeler with experience designing scalable, future-proof models that serve multiple stakeholders and use cases.</li><li>Core tooling - Deep experience with dbt or other semantic modeling tools, familiarity with workflow orchestration, and you treat Git and CI/CD as standard working practice.</li><li>Exceptional communicator - Comfortable presenting methodology and findings to both technical and non-technical partners, including executive leadership. You have a proven ability to drive cross-functional alignment.</li><li>Comfortable with ambiguity - You are a self-starter who takes ownership and drives projects forward with minimal oversight to define the workflows for a brand-new team.</li><li>AI-fluent &amp; curious - You have working fluency with AI-assisted development (Claude, Cursor) and a grounded view of where it adds durable value.</li><li>Nice to haves - Prior experience as a Data Engineer, time spent in FinTech/highly regulated data environments, exposure to LLM tooling built on a data warehouse, or experience with dashboard tools like Looker, Hex, or Tableau.</li></ul>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:<ul><li>❤️ Health: private insurance for you and your family, psychological support with Serenis, mental health workshops.</li><li>💰 Financial resources: Stock Option Plan, meal vouchers, relocation support if you’re moving countries.</li><li>⚙️ Growth and development: professional development programs, internal mobility, language courses with Preply.</li><li>🌱 Flexibility: unlimited PTO, hybrid working policy*, flexible working hours.</li><li>👨‍👩‍👧 Family: enhanced parental leave, additional leave for child sickness.</li></ul>*We embrace two days per week in-office (Tuesday and Thursday), with the option to request extra remote time.Salary: €48,000 - €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 Curious what it's actually like here? Our values and pillars shape how we work every day:<a target="_blank" rel="noopener noreferrer ugc" href="https://www.satispay.com/en-it/work-at-satispay/?utm_source=gemini"> explore them here</a>.#LI-HYBRID #LI-VR1By submitting this application, I acknowledge that I have read and understood the content of the <a target="_blank" rel="noopener noreferrer ugc" href="https://www.satispay.com/en-it/legal-hub/privacy-policy/candidates/">Privacy Policy</a>

Analytics Engineer

Please note that this opportunity requires relocation to our Luxembourg office.<div> </div>About usTraditional 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 doingAs our FinCrime Analytics Engineer, you'll drive our data strategy to elevate risk decision-making by ensuring all analytical data is readily available, well-structured, and fully aligned with our operational needs. Here's what that looks like in practice:<ul><li>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.</li><li>Data Integrity and Processing - Ensure the collection of high-quality data and manage high-volume data batch processing to maintain optimal performance for dashboards and analytical models.</li><li>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.</li><li>Stakeholder Management &amp; Communication - Independently direct cross-functional initiatives across diverse business requirements, turning technical insights into impactful actions and data model optimizations.</li><li>Build Feature Store Capabilities - Develop high-value features to populate the feature store using optimized code capable of processing and executing across high volumes of data.</li><li>Challenge and Simplify - Simplify complex data models into clear, efficient data relations that can be easily queried with SQL to improve overall performance and ensure high data quality.</li></ul>Who we're looking forThis role needs someone proactive, curious, and eager to take full ownership of our data strategy to elevate risk decision-making.<ul><li>Experience – 5+ years in data engineering or analytics engineering.</li><li>Technical Proficiency – High proficiency in SQL, Python, Big Data, distributed processing, dbt, Airflow, Spark, or similar technologies, with hands-on experience building ETL data pipelines.</li><li>Communication – Excellent communication skills and fluency in English.</li><li>Nice to Have – Experience with Feature Stores, Graph Databases, and Machine Learning Engineering.</li></ul>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 impactWe 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:<ul><li>❤️ Health: private insurance for you and your family, psychological support with Serenis, mental health workshops.</li><li>💰 Financial resources: Stock Option Plan, meal vouchers, relocation support if you’re moving countries.</li><li>⚙️ Growth and development: professional development programs, internal mobility, language courses with Preply.</li><li>🌱 Flexibility: unlimited PTO, hybrid working policy*, flexible working hours.</li><li>👨‍👩‍👧 Family: enhanced parental leave, additional leave for child sickness.</li></ul>*We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.Equal opportunity employerAt 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!<div> </div>Learn more about usCurious what it's actually like here? Our values and pillars shape how we work every day: <a target="_blank" rel="noopener noreferrer ugc" href="https://www.satispay.com/en-lu/work-at-satispay/">explore them here</a>.<div> </div>#LI-VR1#LI-HYBRIDBy submitting this application, I acknowledge that I have read and understood the content of the <a target="_blank" rel="noopener noreferrer ugc" href="https://www.satispay.com/en-it/legal-hub/privacy-policy/candidates/">Privacy Policy</a>

FinCrime Analytics Engineer - Luxembourg

Please note that this opportunity requires relocation to our Barcelona office.<div> </div>About usTraditional 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 doingAs our FinCrime Analytics Engineer, you'll drive our data strategy to elevate risk decision-making by ensuring all analytical data is readily available, well-structured, and fully aligned with our operational needs. Here's what that looks like in practice:<ul><li>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.</li><li>Data Integrity and Processing - Ensure the collection of high-quality data and manage high-volume data batch processing to maintain optimal performance for dashboards and analytical models.</li><li>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.</li><li>Stakeholder Management &amp; Communication - Independently direct cross-functional initiatives across diverse business requirements, turning technical insights into impactful actions and data model optimizations.</li><li>Build Feature Store Capabilities - Develop high-value features to populate the feature store using optimized code capable of processing and executing across high volumes of data.</li><li>Challenge and Simplify - Simplify complex data models into clear, efficient data relations that can be easily queried with SQL to improve overall performance and ensure high data quality.</li></ul>Who we're looking forThis role needs someone proactive, curious, and eager to take full ownership of our data strategy to elevate risk decision-making.<ul><li>Experience – 5+ years in data engineering or analytics engineering.</li><li>Technical Proficiency – High proficiency in SQL, Python, Big Data, distributed processing, dbt, Airflow, Spark, or similar technologies, with hands-on experience building ETL data pipelines.</li><li>Communication – Excellent communication skills and fluency in English.</li><li>Nice to Have – Experience with Feature Stores, Graph Databases, and Machine Learning Engineering.</li></ul>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 impactWe 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:<ul><li>❤️ Health: private insurance for you and your family, psychological support with Serenis, mental health workshops.</li><li>💰 Financial resources: Stock Option Plan, meal vouchers, relocation support if you’re moving countries.</li><li>⚙️ Growth and development: professional development programs, internal mobility, language courses with Preply.</li><li>🌱 Flexibility: unlimited PTO, hybrid working policy*, flexible working hours.</li><li>👨‍👩‍👧 Family: enhanced parental leave, additional leave for child sickness.</li></ul>*We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.Equal opportunity employerAt 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!<div> </div>Learn more about usCurious what it's actually like here? Our values and pillars shape how we work every day: <a target="_blank" rel="noopener noreferrer ugc" href="https://www.satispay.com/en-lu/work-at-satispay/">explore them here</a>.<div> </div>#LI-VR1#LI-HYBRIDBy submitting this application, I acknowledge that I have read and understood the content of the <a target="_blank" rel="noopener noreferrer ugc" href="https://www.satispay.com/en-it/legal-hub/privacy-policy/candidates/">Privacy Policy</a>

Satispay

Open jobs at Satispay

Data Analyst - Growth & Marketing

Senior Data Analyst - Product

Analytics Engineer

FinCrime Analytics Engineer - Luxembourg

FinCrime Analytics Engineer - Barcelona

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