Grant Financial Administrator

Job Overview 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 the efficiency of our tools and processes, via training, documentation, visualization, automation, testing, scalability, experimentation, supporting client analysts, and 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. Additional Information for Applicants The selected candidate must have current work authorization in the United States. This position is not eligible for Visa Sponsorship. Benefits Medical Insurance Vision Insurance Paid Vacation Days Paid Sick Days 11 Paid Holidays Various Retirement Options, including 401K employer match Tuition Assistance (available for yourself, spouse, partner or dependent) Responsibilities Collaborate on Data Solutions (25%) – 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 and Microsoft Fabric. 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. Support Data Engineering, DevOps, and dependency management (25%) – 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, Databricks, and Microsoft Fabric. Promote data literacy (30%) – 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 (10%) – 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. 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. Qualifications Bachelor's degree in information technology, business/operations analysis or a related field, with five years of experience in related positions; or a Master's degree and three years of related experience. Degree Equivalency Clause: Four years of direct experience for a bachelor’s degree. Eligibility Requirements (SB 1310) Senate Bill 1310- The Florida Senate ( is conditional upon meeting all employment eligibility requirements in the U.S. SB 1310: Substitution of Work Experience for Postsecondary Education Requirements A public employer may include a postsecondary degree as a baseline requirement only as an alternative to the number of years of direct experience required, not to exceed:

• a) Two years of direct experience for an associate degree;
• b) Four years of direct experience for a bachelor’s degree;
• c) Six years of direct experience for a master’s degree;
• d) Seven years of direct experience for a professional degree; or
• e) Nine years of direct experience for a doctoral degree

Related work experience may not substitute for any required licensure, certification, or registration required for the position of employment as established by the public employer and indicated in the advertised description of the position of employment. Minimum Qualifications that require a high school diploma are exempt from SB 1310. Knowledge, Skills & Abilities Technical Skills: Critical skills: Data Management (including data analysis, organization, quality, and protection) and Data Engineering (including SQL scripting and the ability to learn/debug/build data pipelines and orchestrate data flows, ideally in Azure Synapse and Microsoft Fabric). Important skills: Data Governance, security/access‑control, metadata and data discovery (ideally using Microsoft Purview). Desirable skills: Experiences with agile methodology and tools (e.g. JIRA), PowerBI semantic modeling, report development, Data and AI Literacy, self‑service enablement, DevOps, LogicApps, data platform admin/engineering. Soft Skills: The ability to collaborate and communicate effectively with the team and our clients is crucial. Business‑customer‑centric analytical/problem‑solving skills are critical. IT Core Competencies: Growth Mindset – Takes ownership of personal growth and embraces the concept that intelligence and talent can be developed through continuous learning. Willing to take on new challenges, and views failure as an opportunity to grow. Communication – Comfortable using a broad range of communication styles, and chooses appropriate, effective ways to communicate. Adapts communication style depending on the audience and situation. Listens and asks questions to develop a better understanding. Collaboration – Collaborates with others in the pursuit of common missions, visions, values and goals. Fosters a sense of community within and across teams, building on mutual respect, trust, and drawing on the strengths of others. Client Obsession – Client focused when creating solutions or solving problems, believing that everything we do is to earn and keep our clients’ trust. Ownership – Takes responsibility, accountability and proactively focuses on areas they can directly influence. Understands their role within the team and recognizes that they share the team’s successes and failures. Outcome Driven – Focuses on desired results, business outcomes, and how to achieve them. Takes appropriate actions to ensure commitments are met and results achieved. Industry Knowledge: Higher Education experience is desirable. #J-18808-Ljbffr University of South Florida