• Implementation of analysis & reporting  by creating SQL queries based on Big Query database.

• Build and maintain dashboards in Tableau or Looker that provide real-time visibility into performance, funnel conversion rates, and experiment outcomes.

• Conduct deep-dive analysis into user behavior, analyzing data points along the Sales and D2P customer journey to identify trends, friction points, and opportunities.

• Analyze funnel behavior, identify drop-off rates, and provide actionable recommendations for optimization.

• Act as a key partner for business functions (e.g., Marketing, Product), supporting their analytical needs and providing ad-hoc reports and Tableau support.

• Analyze and evaluate A/B tests and experiments to help the team learn quickly and make data-informed growth decisions.

• Review queries and scripts from teammates and provide feedback to ensure data quality and performance.

• Participate in team rituals and discovery processes, helping shape how we define and measure success in our user acquisition funnels.
  
  

Required Qualifications

• Proven experience working in data analysis, business intelligence, or marketing analytics roles, ideally in high-velocity, cross-functional teams.

• Strong SQL Skills are a must. You’re confident in writing advanced queries, debugging issues, and improving performance.

• Must be experienced with data visualization tools (e.g., Tableau, Looker Power BI, or similar) to create clear and impactful reports.

• Familiarity with marketing data flows, including attribution models, campaign tracking, and event-based analytics.

• Experience working with cloud data warehouses like BigQuery, Snowflake, or Redshift.

• Excellent communication and collaboration skills—you enjoy working alongside developers, marketers, and product people.

• Fluent in English; German is a plus.

Preferred Qualifications

• Direct, hands-on experience with Tableau is a major plus, as it is our primary visualization tool.

• Proficient in Python, especially for data analysis and statistical modeling

• Understanding of A/B testing frameworks and experimental design, including statistical significance and confidence intervals.

• Exposure to ad tech ecosystems, including sending events to platforms like Meta or Google Ads.

• Mission-driven work: Join an international team shaping the future of healthcare and improving the lives of patients across the globe.

• Cross-functional collaboration: Be part of an agile, product-led team with flat hierarchies, autonomy, and a high sense of ownership.

• Personal development: Benefit from our feedback-driven culture and tailored learning opportunities to support your growth.

• Attractive compensation & tools: Competitive salary, MacBook, ergonomic workstation, and flexible working hours with full remote options.

• Health & mobility perks: Subsidized Wellpass/Urban Sports Club, Deutschland-Ticket, and a company pension scheme.

• Culture & community: A welcoming office in Hamburg with regular team events, sports initiatives, and a work culture that puts people first.