Data Management Analyst II

COMPANY: University of South Florida

LOCATION: 4202 East Fowler Avenue, Tampa, FL 33620

TITLE: Data Management Analyst II

HOURS: Monday to Friday, 8:00 am to 5:00 pm

SUMMARY:                       

The Data Management Analyst II plays a key role in collaboration with data architects, data engineers, key business stakeholders, and subject-matter experts to produce, test, maintain, and improve curated data products that add value to the business. You will apply standards and best practices, including data integrity, effective data literacy, and compliance with data governance and data security requirements. You will continuously reduce risk and improve the value and effectiveness of existing solutions, as well as efficiency of our tools and processes, via training, documentation, visualization, automation, testing, scalability, experimentation, supporting client analysts, as well as mentoring our own new and junior analysts. Additionally, you will actively support client technologists in developing their own reports and data analysis, offering guidance and assistance as needed.

This position leverages practical knowledge of data solutions design and testing, business data domains, appropriate data and metadata management services such as Azure Synapse, Microsoft Purview, and PowerBI, plus data modeling and visualization/story-telling experience, as well as the basics of related infrastructure components such as identity, security, storage, servers, and networking.

DUTIES:                                 

Collaborate on Data Solutions: Work with business (data) analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements. Work with data architects and data engineers to design, test, and support data solutions. Share data and modeling expertise, including with tools like Microsoft PowerBI or SAP PowerDesigner. Mentor student-assistants and contractors on our data solutions processes. Leverage experience deriving business use-cases and visualizations/story-telling (including flowcharts, visual graphs, and/or dashboards) for management to make data-driven decisions. Promote data literacy. Design reporting examples and templates to mentor on visualizations and story-telling best practices. Provide metadata, catalog, and instructional material to improve effective use and adoption of developed data solutions. Co-design, manage, and provide instructor-led training. Leverage experience training and supporting clients and colleagues. Promote data governance. Ensure data products meet compliance, organizational timeliness, quality and integrity standards and best practices through both design and support efforts. Ensure data products meet security and access control policies and standards. Manage data catalog resources. Leverage quality assurance and code maintenance/support experience. Support Data Engineering, DevOps, and dependency management: Collaborate on support, internal documentation, and effective knowledge transfer, especially to student-assistants and contractors. Ensure regression testing and dependency risks are managed. Support re-design and re-engineering effort for use of modern tools and techniques, as well as automation. Leverage trend/pattern analysis skills, coding, and SQL expertise in development environments like Azure Synapse and Databricks. Keep abreast of latest trends in analytics and data management, and make recommendations to improve efficiency, automation, modularity, and facilitate the team's goals based on experience. Promote continuous improvement and innovation across teams (and Agile Release Train) as well. Mentor junior team members, sometimes in other groups and sometimes student-assistants and contractors. Performs other duties as assigned.

MINIMUM QUALIFICATIONS:

Bachelor's degree in information technology, operations analysis or a related field, with five years of experience with stored SQL procedures in Azure Synapse, Databricks notebooks in Spark-SQL, validation modules using PySpark, SSMS data collection packages, must include two years of experience with complex data modeling using Power BI, Tableau, SAP PowerDesigner or Universe-builder, plus organizational change adoption of data-driven decision making, or a Master's degree and three years with stored SQL procedures in Azure Synapse, Databricks notebooks in Spark-SQL, validation modules using PySpark, SSMS data collection packages, must include two years of experience with complex data modeling using Power BI, Tableau, SAP PowerDesigner or Universe-builder, plus organizational change adoption of data-driven decision making. Conditional upon meeting all employment eligibility requirements in the U.S.  

Telecommuting Employee: Reports to the institution in Tampa, FL. Hybrid position or can work remotely up to 50%.

APPLY:   www.usf.edu/work-at-usf/careers/

The University of South Florida is a high-impact global research university dedicated to student success. Over the past 10 years, no other public university in the country has risen faster in U.S. News and World Report's national university rankings than USF. Serving more than 50,000 students on campuses in Tampa, St. Petersburg and Sarasota-Manatee, USF is designated as a Preeminent State Research University by the Florida Board of Governors, placing it in the most elite category among the state's 12 public universities. USF is a member of the American Athletic Conference.

Working at USF 

With more than 16,000 employees at USF, the University of South Florida is one of the largest employers in the Tampa Bay region.  At USF you will find opportunities to excel in a rich academic environment that fosters the development and advancement of our employees.  We believe in creating a talented, engaged and driven workforce through on-going development and career opportunities. We also offer a first class benefit package that includes medical, dental and life insurance plans, retirement plan options, tuition program and generous leave programs and more.

To learn more about working at USF please visit: Work Here. Learn Here. Grow Here.