We make mobility easy & sustainable. AUTODOC was founded in 2008 in Berlin and we are now a leading online retailer for vehicle spare parts and accessories. in Europe. We are a growing profitable technology company active in 27 countries with a highly diverse team of over 5 000 people from 50 countries where things are going fast forward! We are transforming and looking for innovative, tech-driven, and agile talents to join us across Europe. It is important for us that our people feel a sense of impact, purpose and belonging within our organization - whether they work in an office space, in one of our warehouses or remotely. With our headquarters in Berlin- Germany, we also have several offices across Europe. Catch the ride! https://autodoc.group/en/about-us https://autodoc.group/en/facts-and-figures https://autodoc.group/en/news-room https://autodoc.group/en/career Legal notice: https://bit.ly/3LHWIg1

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

Now we are looking for a Data Analyst (m/f/d) who will communicate results to stakeholders in an easy-to-understand manner using data visualization and presentation tools.

Responsibilities:

Develop SQL scripts for key metrics.
Transform data findings into insights; use data visualization tools.
Design and optimize reports, dashboards, use Power BI.
Analyze data using Python (pandas, BeautifulSoup).
Calculate metrics for statistical significance.
Collaborate with business, analysts, data scientists, data engineers.
Present results to business clients.
Use Jira/Confluence for project management.

Qualifications:

Proficient in Python, SQL (ClickHouse preferred).
Skilled in Power BI/BI tools.
Intermediate statistics knowledge.
Handle large datasets effectively.
Experience with ClickHouse, certifications, e-commerce/automotive, R, Git, PySpark, ML.

Experience:

3 years' experience in data and product analysis.
Exceptional communication abilities.
Proficient in analyzing extensive datasets and deriving insights and suggestions.
Capable of handling large data volumes effectively.

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 – providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.
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
Referral Program with attractive incentives
Flexible working hours and hybrid work

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

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