About the role
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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