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

The Data Analyst will support the Office of Financial Grants and Scholarships (OFGS) in analyzing and managing financial aid data, improving reporting and dashboarding, and enabling timely, data-driven decision-making related to scholarship and grant allocation and budget monitoring.

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 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.
  
  

How To Apply

• Interested applicants should fill out the form.
• The selected applicant with a valid resident visa should provide AUS with a Letter of No Objection from their sponsor before joining.
• AUS alumni are encouraged to apply.
• Only shortlisted candidates will be contacted. Applicants who do not meet specified requirements will not be shortlisted.
• 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.