Senior Sales Analyst (f/m/d)

Job description

*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:e285f165-de58-4270-9639-33a82294808a-20" data-turn-id-container="request-WEB:e285f165-de58-4270-9639-33a82294808a-20" data-testid="conversation-turn-8" data-turn="assistant"> Build the data foundation behind AutoScout24’s commercial decisions. As a Senior Sales Analyst in our Global Sales Analytics team, you will build and own the analytical data products that power Sales and Revenue Analytics across all AutoScout24 markets. This is a hands-on technical analytics role, working with complex commercial data across customers, contracts, products, pricing and revenue. The focus is on designing scalable data models, pipelines and reporting layers that provide trusted KPIs across markets. Close collaboration with leaders across functions will ensure that business needs are translated into robust analytical solutions. Why this role is unique End-to-end ownership of business-critical Sales and Revenue Analytics data products Direct impact on commercial decisions across AutoScout24 markets, products and pricing models Complex technical challenges across customer, contract, product, pricing and revenue data Opportunity to shape reliable KPI logic, scalable data models and reporting foundations Close partnership with both technical and business stakeholders Exposure to major business changes, including CRM transformations, pricing initiatives and market launches What you’ll do Own business-critical Sales and Revenue Analytics data products end-to-end – from source data and transformations to reporting and validation Design, build and maintain scalable data models, reporting layers and data pipelines Write and optimise complex SQL and use Python for automation and analytical workflows Troubleshoot pipeline failures, data inconsistencies and complex edge cases across multiple source systems Build reliable KPI logic across markets, products and pricing models Support major business changes such as CRM transformations, pricing initiatives and market launches Use AI-assisted workflows to accelerate coding, debugging and documentation What you’ll bring 6+ years of relevant experience in Data Analytics, Analytics Engineering, Business Intelligen…