Product Data Analyst

September 16, 2024

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Logo of AUTODOC

AUTODOC

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.

e-commerce • online retail • automotive spare parts e-commerce • internet • online

5001 - 10000 employees

Founded 2008

🛍️ eCommerce

🚗 Transport

👥 B2C

📋 Description

• As Product Data Analyst you will be responsible for creating and managing comprehensive reports and self-serving tools • Conducting in-depth analysis of market trends and user behavior • Delivering statistical insights that highlight the impact of our product initiatives in the business • Conduct deep-dive analysis into product performance, customer behavior and market trends to identify opportunities for product enhancement and innovation • Collaborate with product teams to define key performance indicators (KPI) and develop dashboards and reports that track product success and inform strategic decisions • Utilize advanced analytics and predictive modeling to forecast demand, customer preferences and provide support to business case development for product roadmap • Engage in cross-functional projects to ensure that data insights are integrated into product development and customer experience strategies • Collaborate with data engineering and data science teams to continuously refine data collection, transformation and analysis methods to improve accuracy, quality, efficiency, and governance • Design, guide, execute and analyze experiments to test hypotheses related to product enhancements and customer experience improvements

🎯 Requirements

• Minimum of 3 years of experience in data analytics or related fields, preference for experience with product analytics • Bachelor’s or Master degree in Data Science, Statistics, Economics or a related field with strong quantitative foundation • Expertise in analytical and statistical tools and languages (eg. SQL, Python) and familiarity with A/B testing and other experimentation frameworks • Ability to translate complex data into actionable insights and to communicate these effectively across technical and non-technical audiences • Comprehensive knowledge of e-commerce including and customer journey, shopping funnels and behavior analysis • Proven experience designing and maintaining dashboards using leading BI tools • Experience with ETL processes and orchestration is highly desirable • Fluency in English, with excellent written and verbal communication skills

🏖️ Benefits

• Competitive salaries based on your professional experience • Fast growing international company with stable employment • Annual vacation and 1 additional day off on your birthday • Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members • 24/7 hotline and online sessions • Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching • Free English and German language classes • Flexible working hours and hybrid work

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