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Senior Product 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

Join AUTODOC as a Senior Product Data Analyst and play a pivotal role in shaping and steering our product strategy through insightful data analysis and experimentation. Our mission is to transform insights into action, leveraging data driven decision making to refine our product offerings and customer experience.

In this role you will be responsible for creating and managing comprehensive reports and self-serving tools, conducting in-depth analysis of market trends and user behavior, and delivering statistical insights that highlight the impact of our product initiatives in the business.

Responsibilities 

  • Conduct deep-dive analysis into product performance, customer behavior and market trends to identify opportunities for product enhancement and innovation.

  • Collaborate with product teams to define key performance indicators (KPI) and develop dashboards and reports that track product success and inform strategic decisions.

  • Utilize advanced analytics and predictive modeling to forecast demand, customer preferences and provide support to business case development for product roadmap.

  • Engage in cross-functional projects to ensure that data insights are integrated into product development and customer experience strategies.

  • Collaborate with data engineering and data science teams to continuously refine data collection, transformation and analysis methods to improve accuracy, quality, efficiency, and governance.

  • Design, guide, execute and analyze experiments to test hypotheses related to product enhancements and customer experience improvements.

Requirements

  • Minimum of 5 years of experience in data analytics or related fields, preference for experience with product analytics.

  • Bachelor’s or Master degree in Data Science, Statistics, Economics or a related field with strong quantitative foundation.

  • Expertise in analytical and statistical tools and languages (eg. SQL, Python) and familiarity with A/B testing and other experimentation frameworks.

  • Ability to translate complex data into actionable insights and to communicate these effectively across technical and non-technical audiences.

  • Comprehensive knowledge of e-commerce including and customer journey, shopping funnels and behavior analysis.

  • Proven experience designing and maintaining dashboards using leading BI tools.

  • Experience with ETL processes and orchestration is highly desirable.

  • Fluency in English, with excellent written and verbal communication skills.

Perks at work

  • 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

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