Business Analyst SCM

Autodoc Logistics sp. z o. o.

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Szczecin-Office Until 8/22/2026 First posted March 21, 2025 Last posted March 21, 2025
Job description

Company Description

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!

Job Description

A role that includes planning, implementing and managing data sources, usage, maintenance of data assets for ongoing analysis

Responsibilities

  • 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, 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;
  • Work in Jira / Confluence and writing your results


Qualifications

  • Data Analyst (BI) skills: understanding of BI fundamentals, data analysis, visual analysis, knowledge of SQL fundamentals, deep understanding of all the capabilities of BI tools
  • 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, business information;
  • Ability to develop technical documentation;
  • Understanding data source maintenance processes.
  • Good knowledge of English (at least B2 level)
  • Experience with DataBase Clickhouse, certification, e-commerce or automotive domain
  • 1 year of experience in data and product analytics;
  • Knowledge of the functional area of ​​business (Finance), experience as a financial analyst;
  • Excellent communication skills
  • Strong analytical skills with the ability to analyze data and identify patterns, deviations
  • Ability to work with large amounts of data, business information

What do we offer?

What do we offer

  • Competitive salaries based on your professional experience
  • Fast growing international company with stable employment
  • A cafeteria benefit system, thanks to which you can choose the option you will use - life insurance, private medical care, sports card, cinema tickets and otherss
  • Transportation Services (for all the Warehouse employees)
  • Guaranteed 26 days of vacation per calendar year, regardless of seniority;
  • An extra day off so you can celebrate your birthday;
  • 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
  • Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
  • Free English, German and Polish language classes
  • Referral Program with attractive incentives
  • Flexible working hours and hybrid work

Join us today and let’s create a success story together!

About this role

Summary

Manage data sources and ensure data quality for analysis.

Job title

Business Analyst SCM

Experience level

1 year

Industry

ecommerce

Location requirements

Szczecin office, hybrid work allowed

Salary

Not specified

Management role

No

Skills & keywords

Required skills

SQLdata analysisbusiness analysisdata warehousingdata lakesClickhousecommunicationanalytical skills

Preferred skills

e-commerceautomotivefinancial analysis

Specializations

data analysisbusiness intelligenceSQLdata warehousinge-commerce
Locations

Structured locations inferred from the posting.

Szczecin, Poland

Hybrid City