Senior Data Analyst (f/m/d)

At least 7+ years of experience as a dedicated data or product analyst, ideally in a B2B SaaS environment. Fluency in SQL for complex querying, data manipulation, and optimization across enterprise-scale data warehouses (e.g., Redshift). Experience visualizing complex data and using modern BI tools (e.g., Tableau, Looker). Solid grasp of statistical methods and principles, including quantitative analysis and regression modeling, with experience applying these to complex business problems, ideally working with Python. Proven ability to design, implement, and maintain repeatable, scalable analytical frameworks for consistent measurement. Proven ability to work autonomously, translate ambiguous business questions into analytical plans, and present data to influence strategic decisions. Practical experience with causal inference frameworks or predictive modeling (desirable). Deep understanding of the commercial/financial side of a SaaS company (desirable). Experience defining and maintaining event schemas (e.g., in Segment) (desirable). Familiarity with modern data modeling tools like dbt (desirable). Experience with source control using git (desirable).

Design, implement, and maintain end-to-end analytical frameworks linking user behavior, customer value, and commercial outcomes. Design and maintain analytical frameworks (funnel analysis, cohort analysis, statistical modeling) for product performance measurement. Perform deep-dive quantitative analysis using statistical methods to measure drivers of product success, operational efficiency, and customer experience. Clearly communicate insights to technical and business stakeholders, translating complex findings into actionable recommendations. Collaborate to define, implement, and monitor key product and operational metrics, setting targets for new initiatives. Ensure data quality, tracking adherence, and integrity of product event schemas and analytical datasets with Analytics Engineers. Build and maintain dashboards and reports in BI tools (Looker, Tableau) for self-service information.