Senior Data Analyst (m/f/d)

Posted 3 Days Ago
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Lisbon, PRT
In-Office
Senior level
Automotive • eCommerce • Logistics • Retail
The Role
Lead analysis to identify growth opportunities and performance improvements. Build scalable dashboards, support forecasting and A/B testing, collaborate with product and data engineering to ensure reliable data sources, and translate insights for technical and non-technical stakeholders to drive sales and profitability.
Summary Generated by Built In
Company Description

Engineered in Berlin. Driving the Future of Europe.

At AUTODOC, we are proud to be a homegrown European success story. Founded in Berlin in 2008 and still headquartered in the heart of the continent today, we have evolved from a local specialist into Europe’s leading online platform for the automotive aftermarket.
 Our strength lies in our unique identity: we are a digital-first, e-commerce powerhouse with strong German roots and an expansive reach across 27 European countries. This continental focus allows us to blend our heritage with high-tech innovation, staying agile and closely connected to the markets we serve.

Today, our team of more than 5,500 professionals from over 50 different countries is redefining mobility through cutting-edge technology. Bring your talent and expertise to a company that is building a sustainable, tech-driven future for drivers everywhere.

Come join us and impact the future of AUTODOC!

Job Description

We are looking for a Senior Data Analyst who will be responsible for identifying opportunities for growth and improvement, as well as gathering, analyzing, and interpreting data to help the organization make better decisions. The Data Analyst will also work closely with cross-functional teams to ensure that we meet customer needs and drive sales and profitability.

Responsibilities:

  • Gather and understand business needs and objectives.
  • Identify and interpret patterns, trends, insights, 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.

Qualifications

  • 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
  • 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

Additional Information

What do we offer?

  • Competitive salaries based on your professional experience
  • Fast growing international company with stable employment
  • Annual vacation of 25 working days and 1 additional day off on your birthday
  • Day off on Municipality day and Carnaval 
  • Meal Allowance (8 euros per working day) 
  • Fidelidade Healthcare Plan (Comprehensive health coverage with the option to include your partner and children at discounted rates).
  • Mental Wellbeing Program through the OpenUp platform
  • AUTODOC corporate discount for purchasing car parts at special rates for personal use
  • Exclusive retail discounts via our ‘Benefits at Work’ portal 
  • Learning & Development (over 650 courses on soft and hard skills on our e-learning platform) 
  • Free English and German language classes (after probation period)
  • Flexible working hours and hybrid work

 

The position is available for candidates based in Portugal, Poland, the Czech Republic, Moldova or Kazakhstan.

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

Skills Required

  • Proficiency in SQL
  • Proficiency in Python or R
  • Experience with Power BI or Tableau
  • 4+ years of experience in data, product analytics, data science, or business intelligence
  • University degree in Data Analytics, Data Science, Mathematics, Statistics, Finance, Economics, or related field
  • Proficiency in statistical analysis methods and data modeling
  • Experience with hypothesis testing and A/B testing
  • Strong analytical and problem-solving skills
  • Fluent English
  • Good communication skills for technical and non-technical audiences
  • E-commerce experience
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The Company
HQ: Berlin
2,308 Employees
Year Founded: 2008

What We Do

At AUTODOC, our vision is to become the leading tech ecosystem in the automotive industry, seamlessly connecting all facets of the automotive aftermarket. Founded in Berlin in 2008, AUTODOC has developed into one of the most exciting e-commerce companies in Europe in a remarkably short period. Today, we are the leading online retailer for vehicle spare parts and accessories in Europe. With a team of over 5,000 employees from more than 50 nations, we’re growing fast and transforming rapidly. From logistics and customer service to product, tech, and data—AUTODOC is powered by a highly international, agile workforce that drives digitalisation and operational excellence at every level. Join us as we build the future of automotive e-commerce. Catch the ride with AUTODOC.

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