Data Management Analyst II

University of South Florida•Tampa, FL

1d•$72,062 - $75,000

About The Position

The Data Management Analyst II collaborates with data architects, data engineers, business stakeholders, and subject-matter experts to produce, test, maintain, and improve curated data products that deliver business value. The role applies data integrity, data literacy, governance, and security standards while working to reduce risk and improve the value and effectiveness of existing solutions and the efficiency of tools and processes. This includes training, documentation, visualization, automation, testing, scalability, experimentation, supporting client analysts, and mentoring new and junior analysts. The analyst also supports client technologists as they develop reports and conduct data analysis. The position uses practical knowledge of data-solution design and testing, business data domains, data and metadata management services such as Azure Synapse, Microsoft Purview, and Power BI, and data modeling and visualization/storytelling. It also requires familiarity with related infrastructure components, including identity, security, storage, servers, and networking. The role is with USF Information Technology at the University of South Florida.

Requirements

Bachelor’s degree in information technology, business/operations analysis, or a related field and five years of experience in related positions; alternatively, a master’s degree and three years of related experience.
Under the stated degree equivalency clause, four years of direct experience may substitute for a bachelor’s degree, subject to applicable employment eligibility requirements.
Critical skills in data management, including data analysis, organization, quality, and protection.
Critical skills in data engineering, including SQL scripting and the ability to learn, debug, and build data pipelines and orchestrate data flows.
Ability to collaborate and communicate effectively with the team and clients.
Business-customer-centric analytical and problem-solving skills.
Current work authorization in the United States; the position is not eligible for visa sponsorship.

Nice To Haves

Experience with Azure Synapse and Microsoft Fabric for data pipelines and orchestration.
Data governance, security and access control, metadata, and data discovery skills, ideally using Microsoft Purview.
Experience with agile methodology and tools such as JIRA.
Power BI semantic modeling and report development.
Data and AI literacy and self-service enablement.
DevOps, Logic Apps, and data platform administration or engineering experience.
Higher education experience.

Responsibilities

Collaborate with business analysts to refine data and data-consumption requirements, and work with data architects and engineers to design, test, and support data solutions.
Share data and modeling expertise, including Microsoft Power BI and Microsoft Fabric, and mentor student assistants and contractors on data-solutions processes.
Develop business use cases and visualizations or storytelling artifacts, such as flowcharts, visual graphs, and dashboards, to support data-driven management decisions.
Support data engineering, DevOps, and dependency management through collaboration, internal documentation, and knowledge transfer.
Ensure regression testing and dependency risks are managed; support redesign and re-engineering using modern tools, techniques, and automation.
Use trend and pattern analysis, coding, and SQL skills in development environments such as Azure Synapse, Databricks, and Microsoft Fabric.
Promote data literacy by designing reporting examples and templates, providing metadata, catalog and instructional materials, and co-designing, managing, and delivering instructor-led training.
Promote data governance by ensuring data products meet compliance, timeliness, quality, integrity, security, and access-control standards and by managing data catalog resources.
Keep current with analytics and data-management trends and recommend improvements in efficiency, automation, modularity, and team practices.
Promote continuous improvement and innovation across teams and the Agile Release Train, and mentor junior team members, student assistants, and contractors.
Perform other duties as assigned.