Data Analyst

ppAbout Us: Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. 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. /p h3What You'll Be Doing /h3 pAs a bData Analyst /b, you will be a core member of our bGrowth Marketing (GM) /b team, taking the bdata and analytics lead on all Finance initiatives /b. 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. /p h3Here's What Your Day-to-day Will Look Like /h3 ul liBuild Financial Analytics Reporting Capabilities — Develop PL and cash flow analytics, plan vs. actual monitoring models, and financial KPI frameworks that enable Finance to steer the business with accurate, timely data. /li liLead 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. /li liPartner 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. /li liBuild 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. /li liDrive 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. /li liEnhance 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. /li liContribute to Our Data Layer Evolution — As part of the broader GM 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. /li /ul h3Who We're Looking For /h3 pWe 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 /p ul liRelevant 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, FPA or Controlling functions is a strong plus. /li liFinancial Data Expertise — Hands?on experience in financial data modelling, with a solid understanding of PL 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. /li liTechnical 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. /li liData 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. /li liAI 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. /li liAnalytical 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. /li liStakeholder Management Communication — Able to independently lead initiatives across Finance and Marketing domains, efficiently translating technical findings into clear, actionable recommendations for senior stakeholders. /li liUnit Economics Monetisation Knowledge — Familiarity with consumer lifecycle metrics (Acquisition, Activation, Retention, Monetisa