Hello everyone!

We are looking for a Team Lead Data Analyst (Supply Chain) for Autodoc - the Europe's leading online retailer for automotive spare parts.

Further - more, in the Q&A.

Who we are

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.

What are we doing?

We develop one of the biggest online car parts store scaled to 27 European countries.

How old is the project?

We have been operating in the European market for over 16 years now.

What to do in a project?

- 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.

What professional skills are essential to us?

- 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.

The conditions:

- Competitive salary based on your professional experience.

- Stable employment in the fast growing international company.

- Wide benefit system.

- Dynamic work environment.

- Ability to influence business and its results.

- Professional growth - you will attend free external and internal courses.

- Paid business trips and payment for participation in conferences.

- Paid corporate language classes (English, German, Polish).

More 'why's' for exploring opportunities with us:

- Opportunity to expand your scope of work, collaborate across multiple domains, and enhance your knowledge.

- Opportunity to be a contributor to the analytical strategy alongside stakeholders.

- Flexibility in decision-making.

- Participants are part of a large analytical team, fostering active knowledge and approach exchange within the team.

- Education and courses.

- Dynamic and engaging working process, with no stagnation.

The process:

How many stages of the interview?

1. Introduction call with a recruiter (~45 mins).

2. Introduction call with the Head of Analytics or one of the Lead Analysts (~30 mins).

3. Practical exercise.

4. Technical interview (up to 90 mins).

5. Interview with a stakeholder.

Please feel free to apply! Thank you!