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Data Product 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

Responsibilities

  • Develop and test hypotheses to improve user engagement and product effectiveness through A/B testing.

  • Analyze the results of A/B tests and support implementing successful changes into production.

  • Operational support for conduct A/B tests (communication with PMs about better metrics for analyse hypothesis, analyse results, support with calculate stat significance and tests periods)

  • Support and create reports in Power BI

  • Contribute to the backlog and prioritization process using a data-driven approach.

  • Ensure the stable operation of implemented solutions.

  • Monitor key performance metrics and identify the causes of any deviations from expected outcomes.

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 preferred 

Hard skills

  • Strong programming skills in Python.

  • Proficiency in SQL.

  • Experience 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

  • Annual vacation of 25 working days and 1 additional day off on your birthday

  • Meals Allowance

  • Healthcare Insurance

  • Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.

  • AUTODOC Corporate Discount

  • 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

  • Fast growing international company with stable employment

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 and Analytics
Experience level Professional
Department Technology