Senior Product Data Analyst (f/m/d)

Established in 2000, Awin is part of the Axel Springer group. The company has a dynamic, social, and inclusive culture and offers an international environment with a focus on diversity and inclusion.

• Experience in product analytics, product data, digital analytics, Business Intelligence, or related senior roles.
• Experience working directly with digital product teams and understanding of cross-functional collaboration.
• Ability to explain why data matters and guide subsequent actions beyond reporting.
• Proficiency in SQL and comfort exploring large or complex datasets.
• Experience with BI or data-visualisation tools such as Tableau, Power BI, or Looker.
• Hands-on experience with product analytics platforms like Amplitude, Mixpanel, or Heap.
• Experience supporting product experiments and A/B tests, including hypothesis definition and result interpretation.
• Knowledge of product instrumentation including event taxonomies, tracking plans, and metric definitions.
• Experience defining product KPIs, measurement frameworks, success, and guardrail metrics.
• Skill in translating ambiguous product or business problems into focused analytical questions.
• Ability to communicate complex findings clearly to technical and non-technical audiences.
• Comfortable working across different product areas balancing deep analysis with quick insights.
• Experience with Amplitude preferred but not mandatory.

• Act as the analytics partner across cross-functional product teams to shape product strategy and drive measurable outcomes.
• Help teams translate strategic goals, customer problems, and hypotheses into clear questions, measurable outcomes, and success metrics.
• Analyze customer journeys, funnels, conversion, activation, feature adoption, engagement, retention, and customer segments.
• Identify behavioural patterns, friction points, and opportunities for improvement or growth using product and business data.
• Support prioritisation by establishing baselines, sizing opportunities, and explaining potential customer and business impact.
• Use Amplitude to explore customer behaviour, create cohorts, and build reusable dashboards.
• Improve Amplitude usage through consistent metric definitions, event taxonomies, dashboard templates, and documentation.
• Collaborate with Product and Engineering to define tracking requirements and ensure accurate data capture.
• Help design and evaluate product experiments by defining hypotheses, metrics, and interpreting results.
• Build BI reports and self-service dashboards connecting product performance with outcomes.
• Combine quantitative analysis with UX Research and customer feedback to understand customer behaviour.
• Communicate findings through narratives, visualisations and practical recommendations.
• Enable product teams to become more confident and independent in their data usage.
• Act as a trusted analytical partner to Product leadership.
• Drive best practices for product measurement and experimentation.