Senior Business Systems Analyst - Business Intelligence & Data Analytics - $101 CTC - ONSITE (Locals Only)

• Crop to Crop resumes are accepted

Location Requirement: The primary work location will be 4601 W. Guadalupe, Texas 78751.

Position is ONSITE at the location listed above (NO REMOTE WORK). Program will only accept LOCAL ONLY candidates for this position.

Candidates must already reside in Texas.

The Specialist position is rarely selected and should only be considered after all other levels have been exhausted. The Specialist position is considered an expert position that has a comprehensive and authoritative knowledge of or unique skillset in a particular area. The Business Intelligence Analyst use data to figure out market and business trends for companies to increase profits and efficiency.

They may work directly for a company or as a consultant. They able to look at large chunks of data and understand trends, and then communicate those trends to the company.

HHSC IT is doing a targeted data curation in the Performance Management & Analytics System (PMAS) for Medicaid Reporting on Medicaid Personal Care Services.

This development effort will utilize an agile methodology based upon the approach currently in use at HHSC for the Performance Management & Analytics System (PMAS).

As a senior analyst and tester on the agile development team, the worker responsibilities may include:

Overview

The Worker will serve as a senior Business/Systems analyst gathering business and technical requirements, data requirements, business rules, acceptance criteria, including non-visualization business requirements, and then translating to test plans, test scenarios and test cases for a full requirements traceability matrix.

The worker will facilitate integration of technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively 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 has strong analytical skills, a deep understanding of HHS programs and data, strong history of BI/DW development, and exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.

Responsibilities

• Requirements and Testing
• 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.

AI Prompting and Data Synthesis

• 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.

Data Reporting and Visualization

• 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.

Data Literacy and Training

• 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.

Collaboration and Problem-Solving

• 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.

Required Skills

• Experience gathering business requirements and translating complex data requests and operational requirements into clear, actionable queries for complex analytics data sources
• Experience explaining technical findings and data limitations in simple, non-technical language to end-users.
• Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
• Strong experience with SQL for data extraction and manipulation.
• 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.
• Excellent communication, presentation, and interpersonal skills.
• Experience with data visualization tools such as Power BI and/or Tableau.

Desired Skills

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