Data Analyst-Part Time Office Of Financial Grants And 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
  
  

• 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
  
  

• 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.
  
  

• 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.