As a (Senior) Data Analyst at Nelly, you'll transform fragmented health and finance data into scalable, trustworthy models, creating a single source of truth that powers company-wide strategic decisions. Your role goes beyond answering business questions: you'll own the core analytics logic, challenge requirements, and define how we measure business health. About Nelly At Nelly, we’re revolutionizing medical practice management with AI-driven automation and seamless digital workflows. Our innovative solutions - from best-in-class patient journeys, AI enabled patient relationship management and billing to state of the art payment solutions - eliminate painful workflows and improve financial outcomes making healthcare administration smarter, faster, and 100% digital. To fuel our mission, we just raised €50M in our Series B, backed by top-tier investors like Cathay, Notion, Lakestar, GFC, b2venture, and Motive Partners. With this momentum, we’re on a mission to build Europe’s largest fintech in healthcare - bringing best-in-class financial and operational solutions to over 1 million medical practices serving millions of patients daily. Join us now if you’re driven by impact, excited by fast-paced innovation, and ready to shape the future of healthcare! Joining us, you will Design, build, and maintain scalable data models using dbt and strong SQL, with a focus on robust data marts and a clean semantic layer. Own the BI layer (Looker/LookML) end-to-end, creating self-service Explores that give the entire company a single source of truth for analysis. Translate complex business logic into structured data models, including topics such as Customer Health Scores, NRR (cohort-based), CAC Payback, product unit economics, churn, provisions, and commercial KPIs. Unify and harmonize data across systems such as Salesforce, Product Data, HubSpot, Jira, Intercom, Personio, and internal booking/factoring systems. Develop end-to-end reporting solutions from requirement gathering and data validation to Looker dashboards and stakeholder-ready reports. Build advanced analyses such as: Sales funnel and GTM performance tracking Commercial KPI automation Cohort-based NRR, CAC payback and churn analytics Revenue reconciliation (Signed vs. Actual Revenue) Customer and usage benchmarks (including regional usage / booking patterns) Ensuring data quality and cross-functional alignment: Identify gaps in data collection and instrumentation before modeling begins, ensuring quality, consistency, and long-term scalability Establish tests and validation logic in dbt to guarantee reliability and transparency across data models Collaborate closely with Product, Commercial and Finance to deeply understand the processes generating the data Support system alignment between tools to ensure consistent reporting logic across the organization What you'll bring Strong hands-on experience with SQL, modular query design and dimensional data modeling (star schemas, fact/dimension design). Production experience designing and maintaining scalable data models using modern transformation tools (e.g. dbt, SQLMesh, Metabase), including testing and documentation. Experience developing SQL-based data marts and self-service explores BI-tool with modeling capabilities (e.g. Looker) Solid understanding of revenue metrics (MRR, NRR, churn, cohort logic), SaaS KPIs, and GTM performance metrics. Experience integrating and modeling data from tools such as Salesforce, HubSpot, CRM systems, and financial systems. Strong stakeholder management skills and the ability to translate ambiguous business questions into structured analytical frameworks. A proactive mindset - you question definitions, challenge inconsistencies, and improve processes instead of just reporting on them. Fluency in SQL; Experience in dbt and Looker/LookML is a plus Professional proficiency in English; German is a plus. What we offer Competitive salary Work in a great team of talented and highly motivated people Dynamic environment, steep learning curve, and extensive development opportunities Part of an exciting AI enabled FinTech startup in the German healthcare market Responsibility, independent work, and high flexibility Generous budget for learning and development First-class work equipment and flexible working hours Deutschlandticket or Swapfiets rental bike Urban Sports Club membership We are looking forward to receiving your application and welcoming you to the team.