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SalaryDept Number/Name: 0-3510-000 / Information Technology
College Division: Info Tech-Information Tech
Salary Plan: Administrative
Job Code/Title: 4413 / Data Management Analyst
Hiring Salary/Salary Range: $65,000-$69,000
Position Number: 00055093
The selected candidate must have current work authorization in the United States. This position is not eligible for Visa Sponsorship.
ORGANIZATIONAL SUMMARY:
Located in the vibrant and diverse Tampa Bay region of Florida’s gulf coast, the University of South Florida (USF) is a Preeminent State Research University with campuses in Tampa, St. Petersburg and Sarasota-Manatee. Rated as one of the top places to live in the U.S., Tampa Bay offers a high quality of life, year-round sunshine, and easy access to top-rated entertainment. USF is one of the nation’s largest public universities, serving more than 50,000 students with an annual budget of $1.8 billon. Over the past five years, USF has been the fastest-rising university in the nation, public or private, on the U.S. News and World Report's list of best universities, which it ranks as the 44th best public university in America.
USF is proud to be an innovating partner within the Tampa Bay region, listed by Forbes as the top emerging tech city in the country.
USF Information Technology (USF IT) provides technology services and support for the University of South Florida. The IT team, led by the Vice President and CIO, provides the following services: Administrative Services, Client Support, Communication Services, Teaching and Learning, Analytics and Reporting, Mobile and Web Services, Consulting Services, Cybersecurity Service and Research Technologies. For more information, please visit: Information Technology | University of South Florida (usf.edu)
ADDITIONAL INFO FOR APPLICANTS:
The selected candidate must have current work authorization in the United States. This position is not eligible for Visa Sponsorship.
POSITION SUMMARY:
The Data Management Analyst provides data translation, data modeling, Data Management, data flows, and advising to deliver and maintain data solutions which support informed decision-making, problem solving, strategic planning, policy development, institutional self-assessment, and institutional data reporting. This is a professional position demonstrating the ability to learn, collaborate, and deliver impactful data solutions under the direction of senior team members.
RESPONSIBILITIES:
Explore, investigate and identify data relationships and mechanisms to merge various data elements across unrelated and unstructured data to create coherent data models used for analysis and providing actionable information. Work with functional areas and other subject matter experts to develop understanding of information needs and provide technical data solutions to match their needs.
Develop data reporting templates and examples using best practices for story-telling and visualizations of the modeled data. Develop metadata and instructional material to improve effective use and adoption of developed data solutions.
Adapt, evolve, and test data solution components in response to changing dependencies or business needs.
Maintain and enhance data engineering flows that organize and deliver data. Develop and test analytics solutions that integrate, consolidate, and transform various structured and unstructured data.
Research and promote best practices for metadata and data analysis, modeling, and storage techniques, including flexibility, scalability, automation, security, and availability.
POSITION QUALIFICATIONS:
MINIMUM:
This position requires a Bachelor's degree in information technology or a related field, with two years of experience in related positions; or a Master's degree in a directly related field.
PREFERRED:
Expertise in SQL query analysis and development for data analytics. Proven ability to efficiently learn technical tool and process skills, e.g. data modeling, data visualization, data interpretation. Strong collaboration, communication, and presentation skills. Strong problem-solving skills and growth mindset. Passion for empowering others, e.g. to make data-driven decisions. Experience with Power BI, data modeling, Azure data engineering.
