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Team Lead Supply Chain Data Analyst


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 revenue. Catch the ride!

What we’re looking for

The ideal candidate will have a passion for data analysis and an understanding of supply chain management processes.

As a Team Lead, you will be responsible for guiding and supervising a team of supply chain data analysts.

To be successful in the position requires balancing excellent analytical skills, strong attention to detail, and the ability to communicate complex data insights to non-technical stakeholders.


  • Mentoring and developing team members, providing guidance and support for their professional growth.

  • Identify and interpret patterns, trends, and insights related to the supply chain management process.

  • Developing and maintaining supply chain performance metrics such as order total cycle time, inventory turnover, and delivery performance.

  • Data mining, data integration, and custom analytics for sc management.

  • Identify areas for improvement and provide recommendations for development.

  • Estimate the potential impact of initiatives and changes to the supply chain. Supplier performance analytics and making recommendations for supplier selection

  • Develop automated and interactive dashboards/reports that support business stakeholders' needs and allow them to make decisions quickly.

  • Collaborating with cross-functional teams. You will work closely with other teams, such as warehouse management, procurement, and logistics, to optimize the supply chain management process and ensure the timely delivery of goods.

  • Partner with the Data Engineering team to define and build reliable data sources.


  • 5+ years of analytical experience in e-commerce, retail, or other relevant industry.

  • Demonstrated strong problem-solving skills to identify issues, develop innovative solutions, and make data-driven decisions.

  • Demonstrated strong time management skills to prioritize tasks, meet deadlines, and ensure timely delivery of goods.

  • Strategic mindset to understand business processes, optimize supply chain performance, and formulate action plans for improvement.

  • Strong analytical skills with the ability to analyze data and translate it into insights and recommendations.

  • Bachelor's degree in any related field.

  • Proficiency in SQL, Python, and Excel.

  • Proven experience designing and enhancing dashboards using BI tools.

  • Ability to work with large amounts of data and draw conclusions useful for business on their basis.

  • Experience turning complex data results into meaningful visualizations with clear insights

  • Good communication skills and ability to communicate with both technical and non-technical audiences.

  • Fluent English. 

Soft skills

  • Good understanding of the 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

  • Fast growing international company with stable employment

  • Annual vacation and 1 additional day off on your birthday

  • Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions

  • 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 Odesa
Contract Full time
Job category Data Management & Analytics
Experience level Individual Contributor
Department Technology