aus ganz Europa
Senior Data Analyst
Where your expertise is needed
AUTODOC is a technology company with a leading e-commerce platform for vehicle parts and accessories in Europe. Founded in 2008 in Berlin, we are now 5,000 people from 68 nationalities, collaborating to make mobility easy and sustainable. By placing technology at the core of everything we do, we manage to serve customers in 27 European countries in 23 languages. Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!
What we’re looking for
Responsibilities:
Gather and understand business needs and objectives.
Identify and interpret patterns, trends, insights, and business metrics from data
Create data-complex dashboards with an optimized data structure and scaling perspective
Assist in planning, forecasting, and AB testing processes.
Work with various product and business stakeholders to develop data-driven insights.
Partner with the Data Engineering team to define and build reliable data sources.
Identify new opportunities for the use of data across the company.
Requirements:
Proficiency in SQL, Python/R, Power BI / Tableau, and other data analysis tools.
4+ years of experience in data, product analytics, data science or business intelligence, e-commerce experience is a plus.
University degree in Data Analytics, Data Science, Mathematics, Statistics, Finance, Economics, or a related field.
Proficiency in statistical analysis methods, data modeling, hypothesis testing, AB testing.
Strong analytical and problem-solving skills.
Fluent English.
Acts as a team mentor
Good communication skills, ability to communicate to both technical and non-technical audiences.
Applying expertise in analysis to see beyond the numbers and provide clear insights.
Perks at work
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 corporate language classes
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.