AUTODOC
eCommerce • Transport • B2C
AUTODOC is the leading technology ecosystem connecting all stakeholders in the automotive aftermarket. It is the largest and fastest-growing e-commerce platform for vehicle parts in Europe, operating in 27 countries with local domains available in 23 languages. Founded in 2008 in Berlin, AUTODOC has become one of Europe's most exciting internet companies, generating a revenue of over 1. 3 billion euros in 2023. The company offers 5. 8 million products from 2300 brands for car, truck, and motorcycle manufacturers, providing reliable solutions for all parties involved in the market. With a diverse team of around 5000 employees across ten sites, AUTODOC is committed to its entrepreneurial spirit and a unique business model that delivers outstanding value to its customers.
Senior Data Analyst
Job not on LinkedIn
January 29
AUTODOC
eCommerce • Transport • B2C
AUTODOC is the leading technology ecosystem connecting all stakeholders in the automotive aftermarket. It is the largest and fastest-growing e-commerce platform for vehicle parts in Europe, operating in 27 countries with local domains available in 23 languages. Founded in 2008 in Berlin, AUTODOC has become one of Europe's most exciting internet companies, generating a revenue of over 1. 3 billion euros in 2023. The company offers 5. 8 million products from 2300 brands for car, truck, and motorcycle manufacturers, providing reliable solutions for all parties involved in the market. With a diverse team of around 5000 employees across ten sites, AUTODOC is committed to its entrepreneurial spirit and a unique business model that delivers outstanding value to its customers.
đź“‹ Description
• Gathering and understanding business needs and objectives • Develop strategies for effective data analysis and reporting • Configure, implement and control the quality of analytics solutions • Manage data analytics team and produce project deliverables • Measure the performance of the project and provide optimization suggestions • Partner with the Data Engineering team to define and build reliable data sources • Work directly with senior management and recommend solutions and feature improvements
🎯 Requirements
• 5+ years of experience in data, product analytics, or business intelligence • Bachelor's degree in any related field • Comprehensive knowledge of e-commerce area, funnels, customer journey and pricing strategies • Proficiency in SQL, Python, Excel • Proven experience designing and enhancing dashboards using BI tools • Experience turning complex data results into meaningful visualizations with clear insights • Deep understanding of principles of building a data warehouse and data modeling • Good communication skills, ability to communicate to both technical and non-technical audiences • Familiarity with A/B testing • Fluent English • Nice to have: Experience in statistical analysis methods • Understanding of the SDLC principles • Developing BI solutions
🏖️ Benefits
• Competitive salary based on your professional experience • Stable employment in the fast growing international company • Wide benefit system • Dynamic work environment • Ability to influence business and its results • Professional growth — you will attend free external and internal courses • Paid business trips and payment for participation in conferences • Paid corporate language classes (English, German, Polish)
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