Data Analyst-Part Time | Office of Financial Grants & Scholarships

Job in Sharjah, UAE/Dubai

Listing for: American University of Sharjah

Part Time position
Listed on 2026-04-14

Job specializations:

IT/Tech
Data Analyst, Data Science Manager

Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR

Job Responsibilities

Analyze scholarship and financial grant data, including applications, awards, and utilization
Support budget monitoring, forecasting, and allocation exercises
Develop and maintain dashboards and reports to track key metrics and support decision‑making
Clean, validate, and structure data from multiple sources to ensure accuracy and consistency
Provide timely analysis during peak cycles (e.g., admissions and allocation periods)
Identify trends, gaps, and opportunities for improvement
Proactively suggest enhancements to data structure, reporting, and visualization

Qualifications And Skills Required

Bachelor’s degree in related field:
Data Science, Data Analytics, Statistics, Finance, Economics, or any related field
Minimum of 1–3 years of experience in data analysis, reporting, or a related field; relevant internships or project‑based experience may be considered.
Advanced Excel proficiency (e.g., pivot tables, formulas, data analysis)
Ability to analyze, interpret, and present data insights clearly
Strong attention to detail and accuracy
Ability to manage and structure data from multiple sources
Strong organizational and time management skills
Ability to communicate findings to non‑technical stakeholders
Initiative in identifying improvements in data, reporting, and processes
Maintains confidentiality when handling sensitive financial and student data

Preferred Qualifications And Skills

Certification or coursework in data analytics, business intelligence, or related areas (e.g., SQL, Python for data analysis), with experience working with financial, budgeting, or higher‑education datasets.
Proficiency in data visualization tools (e.g., Power BI, Tableau) is preferred, and familiarity with data querying (e.g., SQL) is an advantage.

AUS is an equal opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, age, gender, religion, national origin, disability or marital status. Opportunities for employment are based solely upon one’s qualifications.

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