(Senior) Data Analyst

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