Senior Sales Analyst (f/m/d)

Shape how AutoScout24 measures and grows revenue. At AutoScout24, commercial decisions are increasingly driven by data. As a Senior Sales Analyst in our Global Sales Analytics team, you will act as a strategic partner to commercial leadership, helping shape how AutoScout24 measures performance, identifies growth opportunities and drives revenue growth across multiple markets You will own business-critical revenue analytics products, identify growth opportunities, ensure KPI consistency across markets and translate complex commercial challenges into scalable analytical solutions.

Beyond analysis, you will play a key role in maintaining and evolving the data products, pipelines and reporting foundations that enable reliable commercial decision-making across AutoScout24. You will work across multiple markets, products and pricing models, balancing business needs with technical scalability and data quality.

What You'Ll Do

Own and continuously improve business-critical revenue analytics products that serve as the foundation for commercial performance reporting, KPI governance and strategic decision-making Design, build and maintain scalable data models, reporting layers and analytical solutions Ensure the reliability and scalability of our analytics ecosystem by managing data pipelines, validation frameworks and reporting foundations that support business-critical decision-making Partner closely with Data Engineering to improve data architecture, automation and reporting scalability Drive KPI consistency and reporting standards across markets Identify commercial opportunities and risks through advanced analysis and translate findings into actionable recommendations Support strategic initiatives such as market launches, pricing transformations and CRM changes Leverage AI-powered tools and modern analytics workflows to improve efficiency, automation and business impact What you'll bring 6+ years experience in Analytics, Business Intelligence, Revenue Operations or a similar field Strong SQL and Python skills, with the ability to leverage AI-powered tools to accelerate analysis, automation and problem solving Hands-on experience with workflow orchestration and pipeline management tools such as Airflow Experience designing and maintaining reliable data models, reporting layers and analytical data products Hands-on experience with BI tools such as QuickSight, Tableau, Power BI or Looker Ability to translate complex analytical findings into clear business recommendations and influence decision-making What sets you apart You combine strong technical skills with business acumen and are comfortable discussing both data models and commercial strategy You are passionate about building scalable analytical solutions that deliver long-term business value You understand how data flows through pipelines, transformations and reporting layers You combine analytical thinking with a strong engineering mindset and care about scalability, reliability and maintainability You are comfortable investigating data quality issues across multiple systems and identifying root causes You challenge assumptions, ask the right questions and use data to drive better decisions You balance speed with accuracy and maintain a high bar for data quality and trust You understand where AI can accelerate analytical workflows and where business context and human judgement remain essential