ppData Analyst - Finance at satispay. About the role Become an integral part of the Growth Marketing team as the analytics lead focused on finance-related projects. In this role, you will influence financial planning, reporting, and operational strategies by creating analytical models and self-service data tools. Additionally, you will act as the key intelligence partner for investor relations, translating business performance into compelling narratives for leading venture capital firms. /ph3Key facts /h3ulliLocation: Milan, Italy /liliEngagement: Full-time /liliCompensation: 40,000 to 50,000 EUR gross per year /liliTeam: Growth Marketing /liliWorkplace: Hybrid /li /ulh3What you'll do /h3ulliDevelop comprehensive PL and cash flow analytics, along with models for monitoring plan versus actual performance and financial KPIs to facilitate effective business management. /liliServe as the primary analytics liaison for investor relations, crafting data-driven narratives that communicate performance insights to venture capital stakeholders. /liliCollaborate across Finance, Marketing, Operations, and Product teams to transform intricate financial data into actionable recommendations for executives. /liliEstablish essential financial metrics and create dashboards that empower self-service reporting capabilities for Finance and senior leadership. /liliConstruct analytical frameworks that cover monetization strategies, unit economics, customer lifetime value (LTV), payback periods, cost structures, and revenue drivers. /liliInnovate AI-assisted workflows to automate the detection of anomalies, highlight budget discrepancies, and enhance budgeting and re-forecasting processes. /liliContribute to the data mesh architecture by designing financial data models and pipelines that align with the company's federated data strategy.



/liliEngage in continuous improvement initiatives to refine data processes and enhance the overall efficiency of financial analytics. /li /ulh3Requirements /h3ulliA minimum of 5 years of experience in data-centric roles, including Data Engineering, Data Analytics, and Business Intelligence. /liliAt least 3 years of experience in environments that handle high volumes of data. /liliProven hands-on experience in financial data modeling, with a solid grasp of PL structures, cash flow analytics, and monitoring plan versus actual performance. /liliProficient in SQL, dbt, and Python. /liliDemonstrated ability to design data models, construct ETL pipelines, and manage transformation layers at scale. /liliComfortable utilizing AI tools on a daily basis for analytics, automation, ad-hoc analyses, executive summaries, and business case development. /liliCapable of dissecting complex financial challenges into manageable workstreams and providing evidence-based solutions. /liliStrong stakeholder management abilities, with a track record of independently leading initiatives across Finance and Marketing domains. /liliFamiliarity with consumer lifecycle metrics, including Acquisition, Activation, Retention, and Monetization, as well as user economics such as ARPU, CAC, LTV, and Payback Period. /liliExperience with data visualization tools like Hex, Looker, or similar platforms. /li /ulh3Nice to have /h3ulliPrevious experience in or closely collaborating with Finance, Financial Planning Analysis (FPA), or Controlling functions. /liliUnderstanding of ERP data schemas, particularly SAP,



and the ability to model and transform financial data for analytical purposes. /liliFamiliarity with Git and notebook-based analytics tools such as Hex, Databricks, or Jupyter. /liliKnowledge of SAP Public Cloud. /liliBasic to intermediate proficiency with Claude. /liliExperience interacting with AI agents programmatically through APIs. /liliBackground knowledge of Fintech-specific KPIs and industry dynamics. /li /ulh3Skills tools /h3ulliSQL, dbt, Python /liliGit, notebook-based analytics (Hex, Databricks, Jupyter) /liliHex, Looker, or similar visualization tools /liliAI tools and agents for analytics automation /liliERP systems (SAP) /li /ulh3Practical notes /h3ulliThe role offers a hybrid work schedule, requiring three days in the office each week (Tuesdays and Thursdays, plus one additional day of your choice), with the possibility to request more remote work days. /liliEnjoy unlimited paid time off (PTO) and flexible working hours. /liliBenefit from private health insurance for you and your family. /liliAccess psychological support through Serenis and participate in mental health workshops. /liliParticipate in a Stock Option Plan and receive meal vouchers. /liliRelocation assistance is available for candidates moving from other countries. /liliEngage in professional development programs, internal mobility opportunities, and language courses through Preply. /liliTake advantage of enhanced parental leave policies and additional leave for child-related illnesses. /liliThis job posting is primarily aimed at candidates eligible under Italian law L.68/99 (individuals with disabilities or other protected statuses), though all applicants are encouraged to apply. /liliFinal salary may be adjusted based on the candidate's experience and expertise beyond the standard profile. /li /ul /p #J-18808-Ljbffr

📌 Data Analyst - Finance (Italia)
🏢 Satispay
📍 Italia