Senior Data Analyst

Das ist der Job

Build advanced analyses such as: Sales funnel and GTM performance tracking.

Darum lohnt es sich

Production experience designing and maintaining scalable data models using modern transformation tools (e.g. dbt, SQLMesh, Metabase), including testing and documentation. Responsibilities 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. 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). 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. #J-18808-Ljbffr