About The Position

RESPEC is seeking a highly experienced Business Intelligence Analyst Specialist to support the Texas Health and Human Services Commission (HHSC) on a large-scale enterprise analytics initiative. This role acts as the vital bridge between complex Medicaid program operations and technical data solutions. You will be responsible for ensuring that the Performance Management & Analytics System (PMAS) provides the insights necessary for strategic decision-making while helping the agency navigate the emerging landscape of AI-enabled reporting.

Requirements

  • 10+ Years of Professional Experience in: Gathering business requirements and translating complex operational and data requests into technical solution specifications.
  • Serving as a Senior Business Analyst, Systems Analyst, or Data Liaison in large-scale enterprise environments.
  • Advanced SQL development, including complex data extraction, validation, and manipulation.
  • Collaborating directly with business users and developers to create enterprise-level reports, dashboards, and visualizations.
  • Utilizing modern BI tools, specifically Power BI and/or Tableau.
  • Technical communication, with a proven track record of presenting data findings to executive-level stakeholders.

Nice To Haves

  • 5+ years in Business Intelligence/Data Warehouse environments within Healthcare, Medicaid, or Health and Human Services.
  • Experience implementing data quality standards and governance frameworks.
  • 2+ years of experience developing and delivering technical training or mentoring staff on data literacy.
  • Hands-on experience building AI prompt catalogs (using Streamlit/Python) and applying Responsible AI practices in a government or enterprise setting.

Responsibilities

  • Lead the lifecycle of reporting and analytics initiatives by serving as the primary liaison between business stakeholders and technical development teams.
  • Gather and document functional and technical requirements; translate operational needs into technical specifications and data models.
  • Lead testing activities in both Agile and Waterfall environments, including the creation of comprehensive test plans, scenarios, and requirements traceability matrices.
  • Write and validate complex SQL queries to extract, manipulate, and analyze data from multiple enterprise sources.
  • Design, develop, and validate high-impact reports and dashboards that provide actionable insights to executive leadership.
  • Develop reusable AI prompt libraries, validate AI-generated outputs for accuracy, and support the implementation of responsible AI practices.
  • Mentor business users to improve organizational data literacy and present technical findings to non-technical audiences in a clear, engaging manner.
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