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Data Analyst

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Where your expertise is needed

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!

What we’re looking for

What we’re looking for
We are looking for a highly skilled and experienced Data Analyst to join our Pricing Analytics area to work with Private Brands. As a part of the Pricing Domain, this role will be responsible for research and developing pricing solutions for Private Brand assortment.


Responsibilities

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

  • Launch pricing experiments and implement successful ones into production.

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

  • 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.

Requirements

  • 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

  • Proficient in Python programming (Demonstrated ability to write, optimize, and troubleshoot Python code for data analysis tasks. Experienced in using Python libraries such as Pandas, NumPy, and Matplotlib for data manipulation, statistical analysis, and visualization)

  • 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