We are seeking an experienced Senior Data Analyst (f/m/d) to help us quantify success across our product, identify and prioritise opportunities for product development, and find patterns in behaviour that can be used to drive conversations with our customers about how they can get the most out of our Product.
Design, implement, and maintain the end-to-end analytical frameworks linking user behavior, customer value, and commercial outcomes (e.g., retention, expansion).
Design and maintain analytical frameworks (e.g., funnel analysis, cohort analysis, statistical modeling) to provide reliable and reproducible measurement of product performance.
Perform deep-dive quantitative analysis utilizing statistical methods to measure the drivers of product success, operational efficiency, and customer experience.
Clearly tell the story of your insights for technical and business stakeholders, distilling complex analytical findings into actionable recommendations and strategic narratives.
Collaborate with stakeholders across Product and Customer Experience to define, implement, and continuously monitor key product and operational metrics, including setting targets for new initiatives.
Work closely with Analytics Engineers to ensure data quality, tracking adherence, and the integrity of product event schemas and analytical datasets.
Build and maintain insightful dashboards and reports in our BI tool (e.g., Looker, Tableau) that provide clear, self-service information for leaders across the business.
At least 7+ years of experience working 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 modelling, and experience in applying these to complex business problems, ideally working with Python.
Proven ability to design, implement, and maintain repeatable, scalable analytical frameworks that drive consistent measurement across multiple product areas.
Proven ability to work autonomously, translating ambiguous business questions into clear analytical plans and effectively presenting data to influence strategic product and business decisions.
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