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
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