UEM Data Specialist

Overview

UEM Data Specialist position at the University of Georgia (Athens Area). The role supports the Office of Utility and Energy Management (UEM) and collaborates with FMD IT to deliver data solutions for sustainability and resiliency.

• Analytics Dashboard and Data Model Development:
  Build and maintain dashboards and visualizations (Qlik, Power BI) to support energy management initiatives. Conduct advanced analysis of large datasets to uncover trends and opportunities for energy efficiency. Develop analytics resources that enhance transparency, accountability, and operational performance. Execute forecasting and predictive modeling projects. Perform data preprocessing and exploratory analysis on structured and unstructured datasets. Integrate external data sources to enrich internal datasets and improve insight quality.
  
  Validate data used in reports and queries.
• Support for Analytics Strategy and Data Literacy:
  Execute analytics strategy in coordination with IT and energy management teams. Maintain and enhance reporting platforms, particularly in Qlik Cloud. Apply predictive analytics and AI techniques. Maintain data dictionaries and metadata. Provide technical support and training to stakeholders and promote data literacy.
• Data Source Integration and Validation:
  Develop and maintain ETL/ELT workflows to consolidate data from diverse sources into a comprehensive energy data catalog. Monitor data pipelines with FMD IT. Conduct end-to-end data validation to ensure accuracy and reliability.
• Stakeholder Collaboration and Data Insight Development:
  Gather data requirements, translate them into actionable insights, and communicate findings clearly to stakeholders. Promote data-driven decision-making and sustainability goals.
• Other Duties:
  Perform duties related to special projects within FMD as needed.

Minimum Qualifications: Bachelor’s degree in a related field or equivalent.

Preferred Qualifications: Bachelor’s degree or higher in computer science, business computer systems, or related field. Experience in data modeling, interpreting insights, and presenting narratives and visualizations. Proficiency in Qlik Cloud or Qlik Sense Enterprise (including data architecture with load scripts), Power BI, Power Query, and Data Modeling in Power BI. Proficiency in Python or equivalent analytics languages, SQL, and familiarity with databases.

Knowledge of data modeling concepts. Strong attention to detail, analytical skills, troubleshooting and problem-solving abilities. Familiarity with AVEVA PI System, Tridium Niagara, Sky Spark, ESRI ArcGIS, and building automation systems (e.g., Automated Logic WebCTRL).

Knowledge, Skills, Abilities: Expertise in data management and governance; experience with data analytics and visualization tools (Qlik Cloud, Power BI); understanding of data analytics and architecture concepts; experience with low-code/no-code tools (Smart Sheet, Power Apps); experience writing SQL; experience connecting to web service APIs; strong communication and collaboration skills; mission-driven with interest in sustainability.

Position Summary:

The Data Specialist will support UEM by delivering data solutions that advance sustainability and resilience for the University of Georgia. This role involves collaborating with stakeholders on data projects, maintaining dashboards and data models, managing data sources, and supporting data governance. The position is housed within UEM and aligned with FMD IT with appropriate access.

Location:
Athens Area. Full/Part Time:
Full Time. Employment Type:
Employee. Benefits Eligibility:
Benefits Eligible. FTE: 1.00. Working Schedule:
Mon – Fri 8am – 5pm; some days/weekend work may be required.

Advertised Salary: $70,000 - $85,000 or commensurate with experience. Posting Date: 09/16/2025. Open Until Filled:
Yes. Proposed Starting Date: 11/03/2025. EEO Policy Statement:
The University of Georgia is an Equal Opportunity employer. Details on requests for accommodations and the USG Core Values are provided in the full posting. Background check and credit check requirements may apply as described by the University.

Recruitment Contact Name:
Jason Perry

Recruitment Contact Email: jcperry