Data Analyst - Analytics Engineering

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

📢 Championing Diversity: People with disabilities encouraged to apply (L.68/99) 🚀 We Welcome Everyone! This role is part of our commitment to fostering an inclusive workplace: this is why Satispay mainly dedicates this job opportunity to candidates eligible under specific employment protection laws, including those with disabilities or other protected status, in line with Italian law (L.68/99). We encourage candidates from all backgrounds to apply. Still willing to apply for the role? This specific application form is dedicated mainly to candidates with disabilities. However, we value diversity and talent in all its forms, and everyone is welcome to apply for a job at Satispay! If you’re interested in the role, but you’re not a candidate with disabilities, visit the following link and apply here. 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 Senior Data Engineer, you won't just maintain pipelines; you will shape the evolution of our next-generation data platform. You will architect, scale, and govern an ecosystem that empowers Data Analysts and business teams to autonomously model, analyse, and leverage data safely. Here's what your day-to-day will look like: * Data Platform Architecture & Evolution - Lead the design and implementation of our modern Data Lakehouse strategy, ensuring seamless integration with Amazon Redshift & Redshift Serverless for high-performance analytics. * Self-Service Enablement & Analytics Engineering - Empower Data Analysts to contribute directly to data modelling. You will own the core dbt framework, establishing best practices, CI/CD pipelines, and robust testing frameworks to make analytics engineering scalable and decentralised. * Orchestration & Workflow Automation - Build, scale, and maintain reliable orchestration layers using Apache Airflow, optimising complex DAGs for both batch and near-real-time workloads. * ML Platform Ownership & Feature Store Management - Own, architect, and scale Satispay’s Machine Learning Platform. You will manage our Feature Store, build robust data pipelines for model training and inference, and provision collaborative analytics environments to empower Data Scientists and Analysts. * Streaming & Real-Time Data - Design and operate streaming transformation pipelines (e.g. Apache Flink, Spark Streaming) that power near-real-time analytics and feed the feature store, moving the platform beyond batch. * AI Tooling & Agentic Engineering - Drive team-wide productivity gains by exploring, integrating, and maintaining AI-assisted development workflows. This includes leveraging tools like Claude Code and deploying AI agents to automate data engineering tasks, optimise pipeline monitoring, and accelerate delivery. * Ingestion & Integration - Supervise managed ingestion workflows (Fivetran) and custom Python pipelines, ensuring cost-efficient, resilient, and reliable data flow across systems. * Performance, Cost & Reliability - Design for performance and cost across the entire platform – ingestion streams, transformations, feature store, and Redshift Serverless. Own data quality, observability, and the SLAs your consumers depend on. * Data Governance, Security & Compliance - Design robust data security, access control, and privacy measures across all data assets to ensure strict compliance with financial regulations while maintaining trust. * Mentorship & Tech Leadership - Act as a technical mentor for junior/mid-level engineers, champion documentation, and establish engineering standards that elevate the entire team’s capabilities. 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 education and technical background - You have a degree in Computer Science, Engineering, or a related field, backed by 5+ years of hands-on experience designing, scaling, and maintaining complex enterprise data platform architectures. * Programming Expertise - You are highly skilled in SQL for data manipulation and analysis and have practical experience with at least one of the following: Python, Java, or Scala for building robust data pipelines. * Architectural Knowledge - You are familiar with both batch and real-time streaming data architectures and understand the principles behind designing scalable and resilient data systems. * Data-Oriented Mindset - You have a strong passion for deeply understanding data, its meaning, the critical importance of preparing it correctly, and the methodologies for ensuring its quality and unwavering consistency. * Platform & Mesh Mindset - You understand how to transition from centralised data delivery to a platform model, designing tools and guardrails that allow Data Analysts to safely self-serve and own their data models. * Forward-Thinking & AI Curious - You are excited about the intersection of data engineering and AI, with an interest in LLMs, and integrating AI coding assistants (like Claude Code) into the development lifecycle. * Structured communication and stakeholder management - You communicate clearly and persuasively, adapting your approach to build trust and engage effectively with diverse stakeholders across technical and business teams. * Language proficiency - You are fluent in both Italian and English, enabling seamless communication within our international team and with stakeholders. * Passion for FinTech or Startup environments - You are genuinely passionate about the fast-paced and innovative FinTech or startup ecosystem and are eager to contribute to our mission. 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: €51,000 - €66,500 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