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Data Analyst

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)

Offer summary

Qualifications:

3+ years experience in analytics role., BA in Economics, Engineering, Mathematics, or Computer Science., Master’s degree preferred., Advanced SQL and Python skills..

Key responsabilities:

  • Build dashboard for reference price coverage.
  • Work on competitor signals analysis.
AUTODOC logo
AUTODOC Large https://autodoc.group/en/career
5001 - 10000 Employees
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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

What we’re looking for:

We are looking for a highly skilled and experienced Data Analyst to join our new Pricing Data Team. As a part of the Pricing Domain, this team will be responsible for collecting pricing data, such as reference prices and competitive signals, to boost customer experience and power our decision-making.


Responsibilities:
  • Building a corresponding dashboard and analysis to comprehend reference price coverage, driving the promotional processes across the entire company.

  • Constructing a dashboard and analysis in the competitor signals area to enhance our understanding of Autodoc's price positioning among competitors.

  • Working on improving the matching process, transitioning from manual matching of items to an automatic matching system.

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

Requirements:
  • 3+ years experience working in an analytics-focused role; e-commerce experience 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.

Hard skills:

  • Advanced SQL capabilities.

  • Python.

  • Power BI.

  • Experience working with algorithmic pricing systems and parsers Competera, PriceLab, etc. will be your advantage

  • Experience working with ML in terms of matching problems will be your advantage.

  • Advanced Excel user (Power Query, Power Pivot, Power View, DAX)

  • 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

  • Readiness for continuous development, expansion of the range of professional skills, and automation of routine operations.

 

What do we offer?
  • Competitive salaries based on your professional experience

  • Meals Allowance

  • Fast growing international company with stable employment

  • Annual vacation of 22 working days and 1 additional day off on your birthday

  • Healthcare Insurance

  • Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions

  • AUTODOC Corporate Discount (1,080 Euros per annum) to order parts for their own use at special discounted rate

  • Retail discounts of up to 75% on travel, technology, fashion and much more

  • 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!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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