The University of Tennessee Health Science Center · 10 hours ago
Analytics Engineer - Digital Learning - UTK
University of Tennessee Health Science Center is seeking an Analytics Engineer to support the division by designing, building, and maintaining analytics-ready data solutions. The role involves developing robust data models, ETL pipelines, and BI datasets, ensuring reliable data assets for stakeholders across the division.
EducationHealthcareHealth CareHigher EducationMedical
Responsibilities
Design, build, and maintain ETL/ELT pipelines that extract, transform, and load data into Digital Learning databases and semantic models
Collaborate with analysts to design, develop, and maintain accurate and reliable conceptual, logical, and physical data models that support reporting and self-service analytics
Implement best practices including star schema modeling, optimized DAX measures, and dataset performance tuning
Ensure data quality and accuracy throughout the ETL process
Monitor, troubleshoot, and resolve ETL failures and data anomalies to ensure reliable data availability
Develop subject matter expertise in institutional data sources that support the Digital Learning mission
Remain current with evolving analytics engineering tools, techniques, and industry best practices
Document ETL workflows, transformations, and data lineage to support transparency and maintainability
Plan and execute migrations of data and schemas from MySQL to Microsoft SQL Server and Microsoft Fabric
Analyze existing MySQL databases and design improved SQL Server schemas
Migrate tables, views, indexes, constraints, and relationships while ensuring data integrity and compatibility
Validate migrated data for accuracy, completeness, and performance
Collaborate with application, infrastructure, and data stakeholders to support smooth migration efforts
Translate business requirements into analytics solutions and intuitive visualizations
Provide guidance and technical consultation to departmental partners regarding analytics, metrics, and reporting approaches
Follow established coding standards, version control practices, and documentation guidelines
Improve efficiency and reliability of analytics workflows through automation and optimization
Identify and resolve data quality issues to maintain consistency and integrity across datasets
Maintain documentation for data definitions, business rules, schemas, and analytics processes
Support continuous improvement of the division’s analytics and reporting infrastructure
Qualification
Required
Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field
Minimum of four (4) years of progressively responsible experience in analytics engineering, data engineering, or business intelligence
Strong proficiency in SQL, including writing complex queries and stored procedures
Proven experience with database servers, designing and maintaining ETL pipelines and migrating or modernizing databases
Preferred
Education: Master's degree in a related analytical or technical field
Microsoft Fabric Analytics Engineer Certification (Exam DP-600) or similar certification
Five (5) or more years of experience in analytics engineering, business intelligence, or data engineering
Experience working in a higher education or public-sector environment
Experience with Microsoft Fabric environment
Experience with complex data sets including manipulating, merging, restructuring, and analyzing large data sets
Demonstrated experience developing reports and semantic models using Microsoft Power BI
Company
The University of Tennessee Health Science Center
Established in 1911, The University of Tennessee Health Science Center aims to improve human health through education, research, clinical care and public service.
H1B Sponsorship
The University of Tennessee Health Science Center has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (100)
2024 (91)
2023 (86)
2022 (74)
2021 (69)
2020 (82)
Funding
Current Stage
Late StageTotal Funding
$10.91MKey Investors
National Cancer InstituteHealth Resources and Services Administration
2022-08-26Grant· $3.16M
2022-07-26Grant· $3.9M
2022-03-31Grant· $2.05M
Leadership Team
Recent News
2025-10-02
Genetic Engineering News
2025-09-28
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