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