(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 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.

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