Senior Data Analyst

Role Overview

• 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)
• Ensure 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

Requirements

• 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.

Tech Stack

• SQL

Benefits

• 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