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Data Analyst

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Where your expertise is needed

AUTODOC is a technology company with a leading e-commerce platform for vehicle parts and accessories in Europe. Founded in 2008 in Berlin, we are now 5,000 people from 68 nationalities, collaborating to make mobility easy and sustainable. By placing technology at the core of everything we do, we manage to serve customers in 27 European countries in 23 languages. Curious minds, adventurous experts, and tech-savvy professionals - one team, one billion euros in revenue. Catch the ride!

What we’re looking for

A role that includes planning, implementing, and managing data sources, usage, maintenance of data assets for ongoing analysis, ongoing analysis of all business and data indicators,  creating forecast scripts and methodology, preparation and analyze data for budgeting and UX research

Responsibilities:

  • Knowledge of business domain zone (Preferably Finance);

  • Writing SQL scripts to check the correct operation of data sources;

  • Control of incidents related to data quality;

  • Ensuring compliance with the rules for the collection, storage, and use of data;

  • Standardization, Unification of business metrics and terms in the company;

  • Interaction with business experts to establish business rules and check their reflection in data sources;

  • Interaction with a team of data engineers - Error handling control;

  • Ensuring confidentiality and privacy of data;

  • Proficiency in English at the level of B2 "Above Intermediate" / C1 "Advanced";

  • Python, ML

  • Analyze UX research results with advanced statistics methods

  • Data visualization, dashboard creation (PowerBi)

  • Statistic analysis 

Requirements:

  • 3-5 years of experience in data and product analytics;

  • Data Analyst (BI) skills: deep understanding of BI, data analysis, visual analysis, knowledge of SQL fundamentals, deep understanding of all the capabilities of BI tools

  • Knowledge of the functional area of ​​business (Finance), experience as a financial analyst;

  • Advance statistics knowledge;

  • Middle Python ML

  • Fundamentals of designing and working with corporate storages and data lakes (Data Warehouse, Data Lake), as well as ETL/ELT processes

  • Business analysis methods and techniques for identifying and formalizing data requirements;

  • Ability to work with large amounts of data and business information;

  • Ability to develop technical documentation;

  • Understanding data source maintenance processes.
     

Nice to have:

  • Experience with DataBase Clickhouse, certifications, e-commerce, or automotive domain

Perks at work

  • Competitive salaries based on your professional experience

  • Fast-growing international company with stable employment

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

  • Meals Allowance

  • 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 rates

  • 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

  • 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