Data Platform Analyst

Posting Title Data Platform Analyst Department Overview The School of Engineering and Applied Science (SEAS) at the University of Virginia drives innovation in teaching, research, and service to society. The Data and Platform Services team empowers faculty, staff, and leadership with modern, accessible, and trusted data systems. We foster a collaborative, agile, and inclusive culture that values continuous improvement and impact. Position Summary The School of Engineering and Applied Science (SEAS) at the University of Virginia seeks a Data Platform Analyst to join the Data and Platform Services team. Reporting to the Director of Data and Platform Services, this role plays a vital part in connecting stakeholders with data solutions that support strategic and operational decision-making. The Data Platform Analyst will gather and translate business requirements into technical solutions, build and maintain ETL pipelines within a Microsoft Fabric environment, and develop Power BI dashboards and semantic models. This position will also support the secure modernization of analytics processes by leveraging AI capabilities available in Microsoft Fabric and other University-approved tools. This role is ideal for a professional who enjoys working across the full analytics lifecycle—from stakeholder engagement through data delivery. Responsibilities Partner with faculty, staff, and leadership to understand data and reporting needs Translate business requirements into technical specifications and scalable data solutions Design, develop, and maintain ETL pipelines using Python, PySpark, and Microsoft Fabric Develop Power BI semantic models, dashboards, and reports for analytics and operational use Explore and implement AI-assisted analytics capabilities using Microsoft Fabric and approved University tools Document data processes, transformations, and business logic Support data quality, governance, security, and compliance initiatives Collaborate with team members to continuously improve the data platform and expand capabilities

Minimum Qualifications Education:

Bachelor's degree in Computer Science, Data Science, Information Systems, Business Analytics, or a related field. Relevant experience may be considered in lieu of a degree.

Experience:

At least 4 years of experience in data analytics, business intelligence, or a related field.

Preferred Qualifications Experience with:

SQL and relational databases Building ETL processes or data pipelines Data visualization tools such as Power BI, Tableau, or similar platforms Python or comparable scripting languages Gathering and documenting business requirements Higher education or similarly complex, decentralized environments Cloud data platforms such as Azure, Databricks, or Snowflake AI/ML tools or large language model (LLM) applications in analytics environments Physical Demands This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. Salary Range $92,000

• $105,000 annually.

Salary will be commensurate with education and experience. Position Type & Work Location This is a full-time, benefited position. Work will be performed in Charlottesville, VA with options for a hybrid work schedule in accordance with University policy. About UVA and the Community The University of Virginia, founded by Thomas Jefferson in 1819, is a premier public institution and a member of the Association of American Universities. UVA is located in Charlottesville, a vibrant community consistently ranked among the best places to live in the United States. The University is committed to excellence, diversity, and fostering a collaborative and inclusive environment for students, faculty, and staff. Application Timeline Application review will begin [insert date] and will remain open until the position is filled. Additional Requirements A background check will be conducted on the selected candidate in accordance with University policy. How to Apply Please apply online through Online and search for

R0081052

. Complete the application and upload the following required materials: Internal applicants may search and apply for jobs on the UVA Internal Careers website . Cover letter Resume Please note that multiple documents can be uploaded in the "Resume" box. Applications that do not contain all required documents will not receive full consideration. Reference Check Process References will be completed via UVA's standard SkillSurvey process. Contact For questions about the application process, please contact Bill Crane, Senior Academic Recruiter, at xer5ff@virginia.edu. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment . Data Platform Analyst 4.1 4.1 out of 5 stars Charlottesville, VA 22904 Hybrid work $92,000

• $105,000 a year
• Full-time University of Virginia 650 reviews $92,000
• $105,000 a year
• Full-time Posting Title Data Platform Analyst Department Overview The School of Engineering and Applied Science (SEAS) at the University of Virginia drives innovation in teaching, research, and service to society.

The Data and Platform Services team empowers faculty, staff, and leadership with modern, accessible, and trusted data systems. We foster a collaborative, agile, and inclusive culture that values continuous improvement and impact. Position Summary The School of Engineering and Applied Science (SEAS) at the University of Virginia seeks a Data Platform Analyst to join the Data and Platform Services team. Reporting to the Director of Data and Platform Services, this role plays a vital part in connecting stakeholders with data solutions that support strategic and operational decision-making. The Data Platform Analyst will gather and translate business requirements into technical solutions, build and maintain ETL pipelines within a Microsoft Fabric environment, and develop Power BI dashboards and semantic models. This position will also support the secure modernization of analytics processes by leveraging AI capabilities available in Microsoft Fabric and other University-approved tools. This role is ideal for a professional who enjoys working across the full analytics lifecycle—from stakeholder engagement through data delivery. Responsibilities Partner with faculty, staff, and leadership to understand data and reporting needs Translate business requirements into technical specifications and scalable data solutions Design, develop, and maintain ETL pipelines using Python, PySpark, and Microsoft Fabric Develop Power BI semantic models, dashboards, and reports for analytics and operational use Explore and implement AI-assisted analytics capabilities using Microsoft Fabric and approved University tools Document data processes, transformations, and business logic Support data quality, governance, security, and compliance initiatives Collaborate with team members to continuously improve the data platform and expand capabilities

Minimum Qualifications Education:

Bachelor's degree in Computer Science, Data Science, Information Systems, Business Analytics, or a related field. Relevant experience may be considered in lieu of a degree.

Experience:

At least 4 years of experience in data analytics, business intelligence, or a related field.

Preferred Qualifications Experience with:

SQL and relational databases Building ETL processes or data pipelines Data visualization tools such as Power BI, Tableau, or similar platforms Python or comparable scripting languages Gathering and documenting business requirements Higher education or similarly complex, decentralized environments Cloud data platforms such as Azure, Databricks, or Snowflake AI/ML tools or large language model (LLM) applications in analytics environments Physical Demands This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. Salary Range $92,000

• $105,000 annually.

Salary will be commensurate with education and experience. Position Type & Work Location This is a full-time, benefited position. Work will be performed in Charlottesville, VA with options for a hybrid work schedule in accordance with University policy. About UVA and the Community The University of Virginia, founded by Thomas Jefferson in 1819, is a premier public institution and a member of the Association of American Universities. UVA is located in Charlottesville, a vibrant community consistently ranked among the best places to live in the United States. The University is committed to excellence, diversity, and fostering a collaborative and inclusive environment for students, faculty, and staff. Application Timeline Application review will begin [insert date] and will remain open until the position is filled. Additional Requirements A background check will be conducted on the selected candidate in accordance with University policy. How to Apply Please apply online through Online and search for

R0081052

. Complete the application and upload the following required materials: Internal applicants may search and apply for jobs on the UVA Internal Careers website . Cover letter Resume Please note that multiple documents can be uploaded in the "Resume" box. Applications that do not contain all required documents will not receive full consideration. Reference Check Process References will be completed via UVA's standard SkillSurvey process. Contact For questions about the application process, please contact Bill Crane, Senior Academic Recruiter, at xer5ff@virginia.edu. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .