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Data Analyst

William & Mary
Davis Hall, United States, United Statesfull_timeVerifiedPosted 8 Jul 2026

About the role

Job Requisition:

JR101823 Data Analyst (Open)

Job Posting Title:

Data Analyst

Department:

CC00880 VIMS1 | Office of ITNS

Job Family:

Staff - Software Programming & Applications

Worker Sub-Type:

Regular (benefited)

Job Requisition Primary Location:

Davis Hall

Primary Job Posting Location:

Posting Location - VIMS Gloucester

Job Description Summary:

The Virginia Institute of Marine Science (VIMS) has a three-part mission of research, education, and advisory service. Our over-arching goals are to:

Make seminal advances in understanding marine systems through research and discovery.

Translate research findings into practical solutions to complex issues of societal importance.

Provide new generations of researchers, educators, problem solvers, and managers with a coastal and marine sciences education of unsurpassed quality.

Unit Mission Statement

VIMS Information Technology equips the Institute's research, education, and advisory mission with secure, innovative, and sustainable technology. We empower faculty, staff, and students by delivering reliable infrastructure, modern data and collaboration tools, and responsive support. Through proactive partnership and continuous improvement, we transform technology into a strategic asset that accelerates discovery, learning, and institutional resilience.

The Data Analyst supports institutional operations and administrative decision-making through the collection, preparation, analysis, reporting, and visualization of data from enterprise systems and operational data sources. Working under the guidance of senior data and information technology staff, the position transforms data into actionable information that supports planning, management, compliance reporting, and operational effectiveness across the Institute.

The Data Analyst assists in developing reports, dashboards, visualizations, and analytical products that help leadership and departments make informed decisions. The position supports data governance initiatives, data quality improvement efforts, metadata management, and reporting processes while ensuring compliance with institutional policies related to privacy, security, and data stewardship.

The position serves as a collaborative partner with administrative and academic units to improve data accessibility, reporting capabilities, and business processes through effective use of institutional data resources.

Job Description:

Required Qualifications  

Education  

  • Bachelor's degree in Information Systems, Data Analytics, Business Analytics, Statistics, Finance, Public Administration, Computer Science, Mathematics, Economics, or a related quantitative field; or an equivalent combination of education, training, and experience.  

Experience  

  • Experience working with structured data, spreadsheets, reports, or administrative datasets through academic, professional, internship, or applied project experience.  
  • Experience using Microsoft Excel or similar tools for data analysis and reporting.  
  • Experience organizing, validating, and documenting information from multiple data sources.  

Knowledge, Skills, and Abilities  

  • Knowledge of basic analytical and quantitative methods.  
  • Ability to collect, organize, validate, and analyze data from multiple sources.  
  • Strong attention to detail and commitment to data accuracy.  
  • Ability to identify trends, inconsistencies, and opportunities for process improvement.  
  • Ability to communicate analytical findings to both technical and non-technical audiences.  
  • Strong written and verbal communication skills.  
  • Strong organizational and problem-solving abilities.  
  • Ability to document business processes, reporting requirements, and data definitions.  
  • Ability to work independently and collaboratively in a team environment.  
  • Commitment to maintaining confidentiality and safeguarding sensitive institutional data.  

  

Preferred Qualifications  

Education  

  • Master's degree in Data Analytics, Business Analytics, Information Systems,

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Company

William & Mary

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