Business Analyst 1734 (AI/Data Quality)

Location: Onsite in Austin, TX; local-only candidates; no remote work.

Company

hirify.global provides technology and staffing services for complex public-sector and enterprise IT initiatives.

What you will do

• Serve as a senior business data quality analyst and liaison between technical IT teams and non-technical HHS program staff.
• Gather requirements, extract and integrate sample data from complex internal and external sources, and analyze data quality profiles.
• Collaborate with end-users, performance analysts, IT leaders, data engineering, and program teams to develop visualizations and resolve data inconsistencies.
• Validate AI-generated outputs, identify and mitigate hallucinations, and ensure reporting follows data governance and compliance standards.
• Develop training, documentation, tutorials, standardized AI prompts, and query templates for data synthesis and reporting.
• Guide staff in interpreting data trends, using data profiling tools, and applying accurate prompts to complex data domains.

Requirements

• At least 8 years gathering business requirements and translating complex data acquisition and operational requirements into actionable data-profiling access paths.
• At least 8 years explaining technical findings and data limitations in clear, non-technical language to end-users and leadership.
• At least 8 years in complex data analysis, senior business or systems analysis, and/or data liaison roles.
• At least 8 years of strong SQL experience for data extraction, profiling, manipulation, and enrichment.
• At least 8 years collaborating with end-users, performance analysts, or IT leaders to create and validate data profiles for analytics and business data lineage analysis.
• Excellent communication, presentation, and interpersonal skills.

Nice to have

• At least 5 years of Business Intelligence or data warehouse experience.
• At least 5 years as the primary point of contact for program staff with data-profiling needs.
• At least 5 years in health and human services or a similarly regulated environment, with knowledge of agency data domains.
• At least 5 years applying data governance and data quality principles.
• At least 5 years using data-profiling tools such as Snowflake Cortex or Toad.
• At least 2 years championing data literacy and training or mentoring staff with varying levels of data literacy.
• At least 1 year developing AI prompts.

Culture & Benefits

• Onsite collaboration with HHS program, IT, data engineering, and analytics stakeholders.
• Work focused on data-driven decision-making, data quality literacy, and responsible use of AI.
• Role operates within agency reporting, data governance, and compliance requirements.

Hiring process

• Submit three professional references.
• Each reference must include a name, company name, and phone number with area code; title, email, and professional relationship are optional.