Data Analyst

We are seeking skilled and detail-oriented Data Analysts to join our team in a per diem role. The ideal candidate will be responsible for collecting, processing, and analyzing large datasets to identify trends, patterns, and insights that will inform business decisions. This role involves collaborating with various departments to understand their data needs, developing reports and dashboards, and ensuring data accuracy and integrity.

• Data Collection and Cleaning: Gather, clean, and preprocess datasets from various sources ensuring data integrity and quality.
• Statistical Analysis: Conduct statistical analyses to identify trends, patterns, and correlations within the data.
• Collaboration: Collaborate with cross-functional teams including faculty, students, and researchers to address analytical challenges and support data-driven initiatives.
• Presentation: Present findings and recommendations to management and other stakeholders.

• A Master’s degree in Statistics, Mathematics, Epidemiology, Computer Science, Economics, or related fields.
• Experience in statistical analysis and data manipulation.
• Proficiency in statistical software such as Stata, SAS, R, and SPSS.
• Effective communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.