Title: Senior Business Intelligence Analyst Specialist
Location: Austin, Texas
Work Type: Onsite
Job Type: Contract
Key Responsibilities:
Gather and document business, technical, and data requirements, business rules, and acceptance criteria.
Translate business needs into technical specifications, test plans, test cases, and traceability matrices.
Analyze and query complex datasets using SQL to support reporting and analytics.
Develop and validate reports, dashboards, and data visualizations using Power BI and/or Tableau.
Collaborate with business users, data engineers, and IT teams to resolve data issues and ensure data quality.
Create and optimize AI prompts and standardized query templates for data retrieval and reporting.
Validate AI-generated outputs, ensuring data accuracy and identifying potential hallucinations.
Promote data literacy by developing documentation, training materials, and conducting user training sessions.
Ensure compliance with data governance, reporting standards, and regulatory requirements.
Participate in Agile development activities and support testing across Agile and Waterfall projects.
Required Qualifications:
Experience as a Senior Business Analyst, Systems Analyst, Business Intelligence Analyst, or similar role.
Strong experience gathering business requirements and translating them into technical specifications.
Advanced SQL skills for data extraction, analysis, and validation.
Experience with Business Intelligence and Data Warehouse environments.
Hands-on experience with Power BI and/or Tableau.
Experience developing test plans, test cases, UAT, and requirements traceability matrices.
Strong analytical, communication, presentation, and stakeholder management skills.
Experience with data governance and data quality principles.
Experience delivering reports and dashboards for business and operational reporting.
Preferred Qualifications:
Experience in Healthcare, Medicaid, Health & Human Services, or other highly regulated environments.
Experience with AI prompt engineering, AI-assisted analytics, or prompt catalog development.
Experience using Python and Streamlit for AI-enabled data solutions.
Experience training and mentoring users with varying levels of data literacy.
Knowledge of responsible AI practices and compliance standards.