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General Motors Africa & Middle East

Data Analytics Intern

General Motors Africa & Middle East
United Arab Emirates · Full-time · Not Applicable

Job Description

Work Arrangement

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or another frequency dictated by the business.

The Role

As a Data Analytics Intern, you will gain hands-on experience in data-driven decision-making while supporting global sales operations. You will work closely with senior team members on data collection, analysis, reporting, and insights generation to help optimize business performance. This role offers exposure to real-world data challenges, dashboards, and KPIs, as well as the opportunity to contribute to meaningful analytics projects that influence business outcomes.

What You’ll Do

  • Gather, clean, transform, and analyze data from multiple sources to ensure quality and accuracy
  • Support data analysis, hypothesis testing, and exploratory data analysis (EDA) to uncover trends and patterns
  • Build reports and visualizations to communicate key business insights and performance metrics
  • Assist in developing dashboards and KPIs for ongoing business performance tracking
  • Collaborate with cross-functional teams (Sales, Marketing, CRM, Omnichannel, etc.) on data-driven initiatives
  • Participate in training and mentorship to further develop technical and analytical skills


Your Skills & Abilities (Required Qualifications)

  • Master’s degree in Data Science, Data Analytics, Business Analytics, or a related field
  • Basic knowledge of programming languages (Python preferred) and data analysis tools (SQL, Excel)
  • Familiarity with data visualization tools such as Power BI or Tableau
  • Completed coursework in AI, machine learning, deep learning, or NLP
  • Experience working on academic projects involving generative models or reinforcement learning
  • Strong analytical thinking, attention to detail, and clear communication skills


What Will Give You A Competitive Edge (Preferred Qualifications)

  • Hands-on experience with GPT-based models, GANs, or reinforcement learning projects
  • Prior exposure to business, sales operations, or CRM-related datasets
  • Demonstrated ability to translate complex analysis into simple, actionable insights for non-technical stakeholders


About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Key Skills

Ranked by relevance

data analysis crm data visualization machine learning deep learning power bi tableau python excel sql ai
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Posted
Feb 03, 2026
Type
Full-time
Level
Not Applicable
Location
Dubai

Industries

Motor Vehicle Manufacturing Appliances Electrical Electronics Manufacturing IT Services IT Consulting

Categories

Information Technology

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