Role Overview
Axle is seeking a Data Analyst to join our vibrant team at the National Institutes of Health (NIH) supporting the Bethesda, MD. The Data Analyst will conduct quantitative and qualitative analyses to evaluate program effectiveness, improve administrative operations, and support informed management decisions.
What You Will Do
Develop study methods, review financial and program data, conduct cost analyses, prepare reports, and recommend improvements to workflows and management processes.
Why It Might Be a Fit
The ideal candidate will have a Bachelor’s degree in information management, computer science, data analytics/artificial intelligence, or equivalent, and experience performing data analysis and using computer science and artificial intelligence to process datasets.
Requirements
- Bachelor’s degree in information management, computer science, data analytics/artificial intelligence, or equivalent
- Experience performing data analysis and using computer science and artificial intelligence to process datasets
- Knowledge of data analysis techniques and analytical and evaluative methods for assessing program and administrative effectiveness
- Ability to plan, schedule, and conduct projects and studies and adapt evaluation criteria to assess and improve organizational productivity
- Knowledge of laws, regulations, policies, and precedents affecting program resources and administrative support operations
- Skill in developing or modifying work methods, management processes, organizational structures, and procedures
- Ability to interpret and adapt guidance, reconcile information from multiple sources, and develop recommendations for substantive operational issues
Benefits
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- 401K match up to 5%
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Flexible Spending Accounts: Healthcare (FSA), Parking Reimbursement Account (PRK), Dependent Care Assistant Program (DCAP), Transportation Reimbursement Account (TRN)
To apply for this job please visit job-boards.greenhouse.io.

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