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Axle

Data Analyst

Bethesda, MD; Axle Informatics LLCUnited States
Professional Services
POSTED 26 OCT
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Pay · posted
$110k–120k
mkt median $119k
Open for
11d
since 26 Oct
H-1B · FY25
1
certified LCAs
Hiring · 30d
58
+5 net · open roles

(ID: 2026-3881)

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Axle is seeking a Data Analyst to join our vibrant team at the National Institutes of Health (NIH) supporting the Bethesda, MD.

Benefits We Offer:

  • 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)

Position Overview

The Data Analyst will conduct quantitative and qualitative analyses to evaluate program effectiveness, improve administrative operations, and support informed management decisions. The role includes developing study methods, reviewing financial and program data, conducting cost analyses, preparing reports, and recommending improvements to workflows and management processes.

Responsibilities

  • Develop study methods and evaluation techniques for program reviews, studies, and audits; interpret findings and recommend improvements.
  • Gather, reconcile, validate, and analyze quantitative and qualitative information from multiple sources, including incomplete or conflicting data.
  • Evaluate programs, grant operations, and administrative activities against established goals, measures, and objectives.
  • Prepare clear, accurate reports, statistical tables, program status summaries, and recommendations within established timelines.
  • Review financial, narrative, and statistical reports and program data submitted at local, state, regional, and federal levels to identify significant findings and opportunities for improvement.
  • Conduct project life-cycle cost analyses, cost-benefit analyses, and economic evaluations of programs.
  • Evaluate internal processes, procedures, organizational structures, and data systems and recommend changes that improve efficiency, productivity, and cost effectiveness.
  • Develop or modify work methods, records and filing systems, management processes, staffing patterns, operational guidelines, and procedures for administering program services.
  • Assess opportunities to automate administrative workflows and adopt appropriate technology developments.
  • Evaluate and recommend organizational changes, including options for centralizing or decentralizing operations.
  • Plan and organize assigned studies, define project scope and deadlines, estimate costs, and coordinate with staff and management throughout the project.
  • Participate in meetings and conferences with administrative, scientific, technical, and interagency stakeholders to gather information, present conclusions, resolve problems, and develop alternative courses of action.
  • Serve as a point of contact for assigned program analyses, planning activities, and science policy requests.
  • Identify appropriate information sources, resolve administrative and analytical issues, and promptly communicate findings or problems with potentially broad impact.

Required Qualifications

  • 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.
Source · AxleFirst seen 2 NovOriginal ↗