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Data Analyst (Pricing)


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

What we’re looking for:

We are looking for a highly skilled and experienced Data Analyst to join our new Private Brand Team. As a part of the Pricing Domain, this team will be responsible for research and developing pricing solutions for Private Brand assortment.


  • Come up with a pricing hypothesis to increase the profitability jointly with business owners.

  • Launch pricing experiments and implement successful ones into production.

  • Building a system for monitoring deviations in terms of Private Brand.

  • Developing a system for assessing the impact of changes on financial results

  • Collaborating with other tech specialists, including developers, manual QA, and automatic QA, to develop a full-cycle solution.


  • 3+ years experience working in an analytics-focused role; e-commerce experience is a plus.

  • BA in Economics, Engineering, Mathematics, Computer Science, or another quantitative field; 

  • Master’s degree or equivalent experience in Economics, Mathematics, or Computer Science preferred.

  • Relevant experience with pricing optimization would be preferred.

Hard skills:

  • Strong programming skills in Python.

  • Proficiency in SQL.

  • Familiarity with A/B testing and basic knowledge of statistics.

  • Understanding of the concept of orchestrator and basic understanding of writing DAGs (preferably Airflow).

  • Power BI (Power Query, Power Pivot, Power View, DAX)

  • Familiarity with Fast API would be preferred.

  • Ability to work with large amounts of data and draw conclusions useful for business on their basis

  • B2+ English

Soft skills:

  • Good understanding of the marketing and business processes of the e-commerce company

  • Ability to find points of growth / possible areas of optimization in the company's work and formulate action plans for implementing changes

  • Mindset on an independent search for facts. Ability to deal with uncertainty in data. Ability to ask questions correctly and formulate clear answers to them

  • Commitment to continuous development, expansion of the range of professional skills, and automation of routine operations.

Perks at work

  • 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

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.

AUTODOC does not accept unsolicited CVs from recruiters or employment agencies in response to the AUTODOC Careers page or an AUTODOC social media post. Any legal offering in this regard as well as any Terms and Conditions of recruiters or employment agencies are expressly rejected by AUTODOC. AUTODOC will not consider or agree to payment of any referral compensation or recruiter fee relating to these unsolicited CVs. AUTODOC explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruiter or agency.

Job Info

Location Lisbon
Contract Full time
Job category Data Management & Analytics
Experience level Individual Contributor
Department Technology