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Data Analytics Coop

Unlock employer Jeddah, Saudi Arabia Posted: 18 Aug 2025

Financial

  • Estimate: $12k - $18k*
  • Zero income tax location

Accessibility

  • Office Only
  • Visa Provided

Requirements

  • Experience: Entry Level
  • English: Professional

Position

Full-time Data Analytics Coop position located in Jiddah, Makkah, Saudi Arabia (On-site).

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About the Job: Support the Data & Analytics team by assisting in the preparation, analysis, and reporting of key datasets, dashboards, and projects. The trainee will gain hands-on experience in data analytics, reporting, and business insights while working with different departments.

Key Accountabilities:

  1. Reporting & Analytics:

    • Assist in preparing and maintaining periodic data reports and dashboards related to business performance, claims, and operational metrics.
    • Support in cleaning, validating, and analyzing large datasets to ensure accuracy for regulatory and internal reporting.
    • Contribute to preparing analytical reports for quarterly reviews, audits, and management updates.
  2. Project:

    • Participate in ongoing data analytics projects, including automation of reporting processes and visualization improvements.
    • Attend project meetings and follow up on assigned data-related tasks and pending actions.
    • Support in developing insights from data to improve decision-making.
  3. Adhoc Analysis:

    • Assist in preparing presentations, visualizations, and summaries for management using data-driven insights.
    • Support ad-hoc analytical requests from Risk, Finance, and other business units.

Skills Required:

  • Strong quantitative and analytical skills.
  • Knowledge of data analytics concepts, descriptive and predictive analysis.
  • Proficiency in Excel (intermediate to advanced).
  • Exposure to data visualization tools (Power BI, Tableau, etc.) is a plus.
  • Basic understanding of SQL, Python, or R for data analysis is preferred.
  • High English language proficiency and strong communication skills.

Education:
Relevant fields include Data Analytics, Statistics, Mathematics, Finance, Computer Science, or related areas.

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