Job description

Company Description

AUTODOC is the largest and fastest growing auto parts ecommerce platform in Europe.
Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands.

Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Job 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, and delivering statistical insights that highlight the impact of our product initiatives in the business.

Responsibilities

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.

What do we offer?

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

Join us today and let’s create a success story together!

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