Senior Business Intelligence Analyst Specialist

AMER Technology, Inc.
Austin, TX

Job Title: Business Intelligence Analyst Specialist

Location: Austin, TX

Local Candidates Only – Must currently reside in Texas

Job Overview

The project involves a targeted data curation initiative within the Performance Management & Analytics System (PMAS) to support Medicaid Reporting for Medicaid Personal Care Services.

This project follows an Agile development methodology.

The selected candidate will serve as a Senior Business/Systems Analyst and Test Lead, responsible for gathering business and technical requirements, documenting business rules, acceptance criteria, and translating requirements into comprehensive test plans, test scenarios, test cases, and a full requirements traceability matrix. The consultant will also facilitate the integration of technical data sources while supporting AI-enabled data access, reporting, and analytics initiatives.


Key Responsibilities

Business Analysis & Testing

  • Gather business and technical requirements from program stakeholders and project sponsors.

  • Translate business requirements into technical specifications.

  • Lead testing activities by creating test plans, test cases, and test scenarios across Agile sprint cycles, epics, user stories, and Waterfall projects.

  • Develop and maintain complete requirements traceability matrices.

  • Translate complex data requests and operational requirements into actionable AI queries against enterprise analytics data sources.

  • Communicate technical findings and data limitations in clear, non-technical language to business users.

AI Prompting & Data Synthesis

  • Develop and refine AI prompts and query strategies for accurate data retrieval and synthesis.

  • Guide non-technical users in creating effective AI prompts.

  • Build and maintain standardized AI prompt libraries and reusable query templates.

  • Validate AI-generated outputs and identify potential hallucinations or inaccuracies.

Data Reporting & Visualization

  • Extract, integrate, and analyze data from multiple complex internal and external data sources.

  • Collaborate with business users, performance analysts, and IT teams to develop reports, dashboards, and data visualizations.

  • Ensure all reporting complies with agency standards, governance policies, and regulatory requirements.

  • Support official reporting and strategic decision-making initiatives.

Data Literacy & Training

  • Promote data literacy throughout the organization.

  • Develop and deliver AI and data analytics training sessions for non-technical users.

  • Create user guides, documentation, and tutorials for AI-assisted reporting.

  • Encourage a data-driven culture by enabling effective use of enterprise data and AI tools.

Collaboration & Problem Solving

  • Partner with Data Engineering, IT, and Program teams to resolve data quality issues and inconsistencies.

  • Provide expert guidance on interpreting complex data and reporting results.

  • Stay current with emerging AI technologies, analytics tools, and best practices.

Required Skills & Qualifications

  • 10+ years of experience gathering business requirements and translating complex data requests into actionable technical solutions.

  • 10+ years of experience explaining technical concepts and data limitations to non-technical stakeholders.

  • 10+ years of experience as a Senior Business Analyst, Systems Analyst, Data Analyst, or Data Liaison.

  • 10+ years of strong SQL experience for data extraction and manipulation.

  • 10+ years of experience developing and validating reports, dashboards, and data visualizations.

  • 10+ years of experience working with Power BI and/or Tableau.

  • Excellent communication, presentation, analytical, and interpersonal skills.

Preferred Qualifications

  • 5+ years of Business Intelligence/Data Warehouse experience.

  • 5+ years of experience within Health & Human Services or another highly regulated environment.

  • 5+ years of experience with data governance and data quality principles.

  • 2+ years of experience developing and delivering data literacy or AI training for non-technical users.

  • 2+ years of experience mentoring staff with varying levels of data literacy.

  • 1+ year of experience creating AI prompt catalogs using Streamlit with Python.

  • 1+ year of experience applying Responsible AI practices and ensuring compliance with agency standards.

Posted 2026-07-09

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