You will be mentored by experienced data professionals and contribute to real-world projects, supporting data-driven decision-making across the organization.
Focus Areas:
- Assist in data collection, cleaning, transformation, and validation to ensure accuracy and quality.
- Support the development of dashboards, reports, and visualizations using tools like Power BI, MicroStrategy, or Tableau.
- Work closely with data engineering and data science teams to implement basic machine learning workflows and experiments.
- Conduct research on AI techniques, tools, and frameworks to support innovation initiatives.
- Automate data processing and reporting tasks using Python or SQL scripts.
- Participate in team meetings, project discussions, and brainstorming sessions to contribute ideas and solutions.
- Analyze business concepts and help identify data-driven solutions to business problems.
Requirements:
- Willingness and openness to learn new skills and technologies.
- Proactive attitude and ability to work collaboratively in a team environment.
- Strong attention to detail and commitment to accuracy.
- Basic exposure to data analysis, data warehousing, or cloud platform concepts.
- Familiarity with Python, SQL, or data visualization tools (a plus).
- Ability to understand and translate business needs into technical requirements.
What We Offer
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A collaborative, flexible, and supportive work culture where ideas are valued
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A vibrant, fast-growing multinational team working on exciting projects across the Middle East and Africa
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International exposure and real career growth opportunities
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Continuous learning and professional development programs
Our Recruitment Process
First Round – Aptitude Test
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Online logic and personality assessment to better understand your thinking style and work approach.
Second Round – HR Interview
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A conversation to discuss your career motivations, cultural fit, and alignment with the team.
Third Round – Operational Interview
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A deep dive into your technical skills and experience with the Line Manager.
Final Decision
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Internal review and evaluation, followed by a formal job offer to the selected candidate.