Data Analyst-Part Time

Job Overview

American University of Sharjah is seeking a Part-Time Data Analyst to join its Office of Financial Grants & Scholarships in Sharjah, United Arab Emirates. This role involves analyzing data to support the university’s financial aid and scholarship programs, contributing to informed decision-making.

Company Overview

For more than 25 years, American University of Sharjah (AUS) has promoted ideas, research and creative work that have inspired development and change, driven by our core belief that tomorrow matters. AUS was founded in 1997 by His Highness Sheikh Dr. Sultan bin Mohammed AlQasimi, UAE Supreme Council Member and Ruler of Sharjah. The embodiment of His Highness’ vision, AUS is a place where students are nurtured and encouraged to excel academically, thrive socially, celebrate their cultural diversity, and have a positive influence in their communities.
Located in University City, Sharjah, AUS is a not-for-profit, independent, institution of higher education formed on the American model. We offer 28 majors and 45 minors at the undergraduate level, 15 master’s degrees programs and four PhD programs through the College of Architecture, Art and Design; the College of Arts and Sciences; the College of Engineering; and the School of Business Administration. These programs are designed to meet the challenges of a competitive and dynamic business and industrial environment.

Quick Details

• Salary Range: Market Competitive
• Job Type: Part-time
• Qualifications: None / Open to all applicants
• Experience: No Experience / Fresh

Key Responsibilities

• Collect, analyze, and interpret various datasets to identify key trends and patterns.
• Prepare comprehensive reports and visualizations to communicate data insights to stakeholders.
• Assist in maintaining data integrity and ensuring the accuracy of all processed information.
• Collaborate effectively with the Office of Financial Grants & Scholarships team.
• Support the development and improvement of data collection and management processes.
• Handle ad-hoc data requests and contribute to diverse analytical projects.

Requirements

• Proficiency in data analysis tools such as Excel, SQL, Python, or R.
• Strong analytical, problem-solving, and critical thinking skills.
• Exceptional attention to detail and a commitment to data accuracy.
• Ability to communicate complex data insights clearly and concisely.
• Currently enrolled in or a recent graduate of a relevant degree program (e.g., Data Science, Statistics, Computer Science).
• Ability to work both independently and collaboratively in a dynamic environment.

Benefits

• Opportunity to gain valuable practical experience in data analysis within a higher education setting.
• Flexible part-time working hours to accommodate studies or other commitments.
• Work in a diverse, multicultural, and intellectually stimulating university environment.
• Contribute to the important mission of supporting student financial aid and scholarships.
• Networking opportunities with university staff, faculty, and industry professionals.
• Access to university resources and facilities for professional and personal development.