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Data Analyst Intern

https://www.ikea.com Logo

IKEA

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Location:
China , Shanghai

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We deliver sustainable, extraordinary growth by creating a new, unique, inspiring and convenient meeting with the customers. We deliver a multi-channel experience that adds value to the many people and inspires a home furnishing movement.

Job Responsibility:

  • Provide business insights by conducting descriptive analysis, modern data mining techniques and visualization tools to help business stakeholders make better decisions
  • Build machine learning algorithms to support the forecasting, prediction, segmentation, and recommendation for IKEA business
  • Build operation research algorithms to support IKEA logistic operations

Requirements:

  • Currently pursuing a Bachelor or Master Degree in economics, statistics, maths, engineering, natural sciences or related majors is preferred
  • Part-time interns who can commit at least 3 working days a week
  • Internship should last for more than 3 months
  • Good command of SQL for data processing and analysis
  • Good command of programming languages (e.g. Python, Java), including concepts from functional and object-oriented programming paradigms
  • Good knowledge of data mining techniques, including regression, tree model, neural network, NLP
  • Nice to have knowledge of Operation research theory, including linear programming models, non-linear programming
  • Be familiar with the OR use cases, including resource allocation, transportation problems, assignment model
  • Good interpersonal skills with the ability to collaborate, network, and build strong relations with team members and stakeholders
  • Fluent spoken and written English, CET6 is required
  • Need to adapt to the English working environment

Nice to have:

  • Nice to have knowledge of Operation research theory, including linear programming models, non-linear programming
  • Be familiar with the OR use cases, including resource allocation, transportation problems, assignment model

Additional Information:

Job Posted:
April 26, 2025

Employment Type:
Parttime
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