Senior Business Analyst Data Quality & Analytics- Onsite

Position: Senior Business Analyst   Data Quality & Analytics- Onsite
Honor Vet Technologies is a veteran-owned IT staffing firm, ISO 9001 and ISO 27001 certified, working with federal agencies, state governments, and Fortune 500 enterprise clients across the US. What makes us different isn't a tagline — it's the way we work. We don't forward resumes and hope for the best. We take the time to understand where a professional like you is headed and only reach out when we genuinely believe there's a fit worth exploring.

Position:
Senior Business Analyst – Data Quality & Analytics
Location - Austin, Texas 78751
Duration – 12 months
Onsite
In-Person Interview

Position Overview
We are seeking an experienced Senior Business Analyst with strong expertise in data quality, analytics, SQL, and data governance to support enterprise data management and analytics initiatives. This role will serve as a key liaison between business stakeholders and technical teams, helping improve data quality, reporting, analytics capabilities, and AI-driven data solutions.

Key Responsibilities

• Analyze, profile, and assess data quality across complex enterprise data sources.
• Collaborate with business stakeholders, subject matter experts (SMEs), analysts, and IT teams to identify data issues and improvement opportunities.
• Develop reports, dashboards, visualizations, and analytical solutions to support business decision-making.
• Translate technical findings, data limitations, and analytical insights into clear, business-friendly language.
• Support data governance initiatives, compliance requirements, and reporting standards.
• Create user documentation, business process documentation, and training materials.
• Conduct data literacy training and educate users on data quality best practices.
• Assist with AI prompt development, validation of AI-generated outputs, and mitigation of AI hallucinations.
• Participate in Agile development teams supporting enterprise analytics and data management initiatives.
• Act as a liaison between technical teams and business users to ensure alignment of business needs and data solutions.

Required Qualifications

• Minimum 8 years of experience in business analysis, systems analysis, data analysis, or data liaison roles.
• Minimum 8 years of experience gathering business requirements and translating complex data acquisition and operational requirements into actionable analytics solutions.
• Minimum 8 years of experience explaining technical findings and data limitations to non-technical audiences and leadership.
• Minimum 8 years of advanced SQL experience for data extraction, profiling, manipulation, enrichment, and analysis.
• Minimum 8 years of experience collaborating with business users, analysts, and IT teams to create and validate data profiles and support data lineage analysis.
• Strong understanding of data quality assessment, analytics, and reporting methodologies.
• Experience working within Agile development environments.
• Excellent communication, presentation, stakeholder management, and interpersonal skills.

Preferred Qualifications

• 5+ years of experience supporting Business Intelligence (BI) and Data Warehouse initiatives.
• 5+ years of experience serving as the primary point of contact for data profiling and analytics-related projects.
• 5+ years of experience working in healthcare, human services, government, or other highly regulated environments.
• 5+ years of experience with data governance, data quality management, and metadata practices.
• Experience with data profiling and data management tools such as Snowflake Cortex, Toad, or similar platforms.
• Experience promoting data literacy and data-driven decision-making across organizations.
• Experience developing and delivering training programs for users with varying levels of data literacy.
• Experience with AI technologies, prompt engineering, AI output validation, and responsible AI practices.
• Experience supporting Enterprise Information Management (EIM), data warehouse, or large-scale analytics initiatives.
• Experience with data visualization and business intelligence tools.