Business Intelligence Analyst Specialist - Local TX F2F Interview

Nexiva•Austin, TX

23h•Onsite

About The Position

This role is for an experienced Business Intelligence Analyst Specialist to support the Performance Management & Analytics System (PMAS) for Medicaid Reporting, specifically focused on Medicaid Personal Care Services. The position requires an expert-level Business Intelligence professional capable of gathering business and technical requirements, analyzing complex datasets, developing testing strategies, and enabling AI-driven data analytics. The candidate will act as a liaison between business stakeholders and technical teams, supporting enterprise reporting, data governance, and AI-enabled decision-making.

Requirements

10+ years of Business Analysis and Systems Analysis experience.
10+ years gathering business requirements and translating complex operational needs.
10+ years working with complex analytics and reporting environments.
10+ years of advanced SQL for data extraction and manipulation.
10+ years creating reports, dashboards, and visualizations.
Extensive experience with Power BI and/or Tableau.
Strong experience developing test plans, test cases, and acceptance criteria.
Excellent communication and stakeholder management skills.
Ability to explain technical concepts to non-technical users.
Experience with Business Intelligence/Data Warehouse environments.
Healthcare or Health & Human Services industry experience.
Knowledge of data governance and data quality practices.
Experience conducting user training and mentoring staff.
Experience creating AI prompt libraries using Python and Streamlit.
Knowledge of Responsible AI practices and AI governance.
Experience with Medicaid Programs.
Experience with Health & Human Services.
Experience in Government/Public Sector.
Experience with Enterprise Reporting.
Experience with Performance Analytics.
Experience with Healthcare Data.

Nice To Haves

Streamlit (Preferred)
Python (Preferred)

Responsibilities

Gather business, technical, and data requirements from stakeholders.
Translate business requirements into technical specifications and test documentation.
Develop comprehensive test plans, test cases, and traceability matrices.
Analyze complex datasets using SQL.
Create and validate dashboards and reports using Power BI and/or Tableau.
Work with business users to understand reporting needs and data requirements.
Develop AI prompts and query strategies for accurate data retrieval.
Create reusable AI prompt libraries and reporting templates.
Validate AI-generated outputs and identify potential inaccuracies or hallucinations.
Collaborate with Data Engineering, IT, and business teams to resolve data issues.
Ensure compliance with data governance, reporting standards, and agency regulations.
Conduct AI and data literacy training sessions for non-technical users.
Prepare documentation, user guides, and training materials.
Support Agile sprint activities including requirements, testing, and delivery.