Business Intelligence Specialist Digital Learning UTK

Supports the Digital Learning division by providing timely accurate and relevant insights to decision makers. Collects organizes and interprets data to help inform the decisions that shape the future of our organization. Creates and maintains interactive dashboards that contain a variety of data visualizations and key performance indicators (KPls) designed to meet the needs of the end user and inform decisions at the highest levels of the division. Responsible for linking data from multiple internal sources as well as importing and linking data from external sources. Integrates concepts and data from various sources such as Google Analytics Salesforce CPD platforms and internal systems such as Slate and Banner. Performs the evaluation and testing of data and reports received from other offices establishes automatic data verification resolves data discrepancies creates queries and develops standard and ad hoc reports.

Data Analysis and Data Visualization

• Works on a variety of projects analyzing marketing admissions enrollment academic program and other student data.
• Designs and maintains automated reports and interactive dashboards to inform business decisions using Microsoft Power BI Google Looker RStudio Tableau and other data visualization applications.
• Organizes results and conclusions of data analysis for use and presentation by departmental leaders.
• Develops overall subject matter expertise regarding internal and external data sources that support departmental mission.
• Provides guidance and technical advice to departmental customers in the areas of data visualization and reporting.
• Remains current and learns new skills and software applications as tools and data analysis needs change over time.
• Coordinates testing of new releases of data analysis and visualization applications to identify impacts to and across data libraries and/or databases to ensure data integrity.

Data Collection from Internal and External Sources

• Designs and maintains complex SQL queries to pull data from institutional relational databases that can be packaged as data sources for data analysis and visualizations. Joins disparate data sources and establishes procedures to conduct regular data sampling and full data comparison on divisional and other data sets. Automates repetitive tasks by writing clean and tested code that can be maintained and extended by other analysts.
• Contributes to data analysis and data visualization needs via ETL (extract transform load) procedures to translate raw data into user-friendly formats trend analyses static and interactive graphs.
• Collects and assists with the analysis of relevant data from external data sources such as the U.S. Department of Education Integrated Postsecondary Education Data System (IPEDS).
• Merges data from external and internal databases and makes correlations across merged data sets.
• Uses independent judgment to research and problem-solve data collection discrepancies and irregularities.

Implementation maintenance and documentation of the internal reporting processes

• Timely and accurate generation and dissemination of standard and on demand reports for use by departmental units. Must be able to respond ad hoc to requests accurately and quickly.
• Automates repetitive (standard) reports.
• Consults with clients to understand data needs and develops tools to collect and deliver requested information.
• Develops and maintains procedures to improve accuracy and efficiency of data querying report generation and data dissemination processes.
• Identifies data discrepancies and addresses data quality issues to ensure consistency and integrity of data collection and reporting.
• Maintains departmental documentation for data definitions a query catalog sources of data and operation procedures for routine departmental processes.

Required Qualifications

Education:Bachelors degree in Business Analytics Data Science Statistics Mathematics Computer Science Engineering Computational Social Science or a related field.

Experience:Minimum of one (1) years of experience in data analysis and visualization reporting or statistical analysis.

Applicants must be legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment-based visa status.

Preferred Qualifications

Education:Masters degree in Business Analytics Data Science Statistics Mathematics Computer Science Engineering Computational Social Science or a related field.

Experience:

• Two or more years of experience in analytics and data visualization reporting or statistical analysis.
• Experience working in a higher education setting.
• Experience working with marketing admissions enrollment academic program and other student data.
• Experience with complex data sets including manipulating merging restructuring and analyzing large data sets.
• Demonstrated successful management of multiple short-term and long-term projects independent completion of projects with accuracy thoroughness and creativity and timely meeting of deadlines under pressure.

Work Location

• Knoxville TN. This position does have the potential for a hybrid working capacity.

Compensation and Benefits

• UT market range: MR 12
• Hiring Range: $ a year dependent on experience
• Find more information on the UT Market Range structurehere
• Find more information on UT Benefitshere

Application Instructions

• For full consideration applicants must attach a letter of interest resume and the name address email and phone number of three professional references in addition to completing the applicant file to the Human Resources online application system Taleo. This position does have the potential for a hybrid working capacity.
• Screening of applicants will begin immediately and continue until the position has been filled. DLUT

About The College/Department/Division

Digital Learning at UT is a unit charged with advancing UTs commitment to discovery creativity learning and engagement specifically for online learners. Using advanced and innovative technologies Digital Learning at UT will provide scalable solutions that enhance the online learning experience and reduce barriers to student access and success providing a tremendous impact to online learners across the state and the nation. At Digital Learning we want to be bold and impactful transforming the future of online education through innovative thinking and collaborative problem-solving. Join our dynamic and inclusive Digital Learning team where we take pride in teamwork excellence and a shared commitment to shaping the future through education and innovation.

Additional Information on all postings provided by UTK