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Supply Chain Data Analyst

75% Flex
Full Remote
Mid-level (2-5 years)
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Supply Chain Data Analyst

75% Flex
Remote: Full Remote
Experience: Mid-level (2-5 years)

Offer summary

Qualifications: 3+ years of analytical experience in e-commerce, retail, or similar industries, Bachelor's degree in a relevant field, proficiency in SQL, Python, and Excel.

Key responsabilities:

  • Analyze supply chain data, develop performance metrics, identify areas for improvement
  • Collaborate with cross-functional teams to optimize the supply chain process
AUTODOC logo
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AUTODOC
Information Technology & ServicesLarge

https://autodoc.group/en/career

5001 - 10000 Employees

Job description

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Company Description

Job Description

AUTODOC company, the European e-commerce leader in sales of auto parts, is looking for a Data Analyst in the Supply Chain management department. 

We are seeking a talented Supply Chain Management Data Analyst to join our team. The ideal candidate will have a passion for data analysis and an understanding of supply chain management processes. In this role, you will be responsible for analyzing data, developing and maintaining performance metrics, and identifying areas for improvement in our supply chain management process. You will work closely with cross-functional teams to optimize the supply chain management process and ensure the timely delivery of goods.

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.

Responsibilities 

  • 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.

Requirements

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

  • 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

What do we offer?

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

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Experience
Level of experience :
Mid-level (2-5 years)
Industry :
Spoken language(s)
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Hard Skills
Soft Skills
  • Ability to find optimization areas in business processes and generate action plans
  • Curiosity and ability to handle data uncertainty, continuous learning mindset

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