Senior Business Systems Analyst (Data & Analytics)

Novalink Solutions LLC•Austin, TX

About The Position

The Department of Information Resources (DIR) requires the services of a Business Intelligence Analyst Specialist, with a focus on Emerging Technologies, for the Health and Human Services Commission (HHSC) Information Technology. This role involves targeted data curation within the Performance Management & Analytics System (PMAS) for Medicaid Reporting on Personal Care Services, utilizing an agile methodology. The worker will act as a senior analyst and tester, gathering business and technical requirements, data requirements, business rules, and acceptance criteria. They will translate these into test plans, scenarios, and cases, facilitating the integration of technical data sources across HHS departments. This position empowers HHS staff to develop complex queries, often using AI prompting techniques, to access, synthesize, and report accurate data for official agency reporting and strategic decision-making. The ideal candidate possesses strong analytical skills, a deep understanding of HHS programs and data, a solid background in BI/DW development, and exceptional communication abilities to bridge the gap between technical data systems and operational users in the context of AI.

Requirements

10 Years Experience gathering business requirements and translating complex data requests and operational requirements into clear, actionable queries for complex analytics data sources
10 Years Experience explaining technical findings and data limitations in simple, non-technical language to end-users.
10 Years Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
10 Years Strong experience with SQL for data extraction and manipulation.
10 Years Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting.
10 Years Excellent communication, presentation, and interpersonal skills.
10 Years Experience with data visualization tools such as Power BI and/or Tableau.

Nice To Haves

5 Years Experience with Business Intelligence/Data Warehouse
5 Years Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements.
5 Years Experience with data governance and data quality principles
2 Years Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff.
2 Years Experience training and mentoring staff with varying levels of data literacy.
1 Year Experience with creating AI prompt catalogs using tools such as Streamlit with Python.
1 Year Experience applying responsible AI practices and compliance with agency standards.

Responsibilities

Work with program areas and project sponsor to gather business requirements and translate into technical specifications.
Lead as Test Manager creating test plans and test cases that integrate from Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts.
Translate complex data requests and operational requirements into clear, actionable queries for AI against complex analytics data sources.
Explain technical findings and data limitations in simple, non-technical language to end-users.
Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex datasets.
Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
Develop a library of standardized prompts and query templates for common reporting needs.
Extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs.
Collaborate with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting.
Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
Champion data literacy across the organization by developing and conducting AI training sessions for non-technical staff.
Create clear, comprehensive documentation and tutorials on using AI tools for data synthesis.
Promote a data-driven culture by enabling and empowering all employees to effectively utilize data and AI.
Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.
Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
Stay up to date on new AI and data analytics tools and techniques to continuously improve data access, data quality and reporting.