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Senior Data Analyst (Pricing Data Insights)

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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 seeking a highly skilled and experienced Senior Data Analyst to join our Pricing Data Insights Team. As part of the Pricing Domain, this team is responsible for collecting and analysing pricing data—such as competitive signals and reference prices—to enhance the customer experience and drive informed decision-making. Our goal is to ensure that we fully utilize current input data to maximize outcomes.


Responsibilities:

  • Elaborate on the mirroring process (Increase competitive coverage and reduce scraping costs by expanding the scenarios where existing competitors data can be utilized in various cases).

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

  • Developing automated pipelines tailored to various reporting needs and requests.

  • Collaborating with other tech specialists, including analytics engineers, data engineers, data scientists, developers to create a full-cycle solution.

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

Requirements:

  • 4+ 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;

  • B2+ English.

Hard skills:

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

  • Proficiency in SQL to write high-performance queries to work with large amounts of data and draw conclusions useful for business on their basis

  • Experience in BI tools to visualize data will be a plus (preferably Power BI)

  • Understanding the concept of orchestrator and writing DAGs will be a plus (preferably Airflow) 

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.

 

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