Business Analyst III

Cayuse Holdings•Cedar Park, TX

2d•$108,160 - $153,920•Hybrid

About The Position

The Business Analyst III serves as a senior-level data quality expert and critical liaison between technical IT teams and non‑technical program or business staff working with complex technical data sources across multiple departments and agencies. This role enables staff to effectively determine data profiles and data quality measures that support analytical reporting, regulatory and management reporting, and strategic decision‑making. This position aligns with Cayuse’s core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables.

Requirements

8+ years of experience gathering business requirements and translating complex metadata acquisitions and operational requirements into clear, actionable access paths for data glossaries for complex analytics.
8+ years of experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership.
8+ years of experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
8+ years of strong experience with SQL for data extraction, manipulation, and enrichment.
8+ years of experience collaborating with end-users and performance analysts or IT internal leaders to create and validate glossaries for analytics development and business data lineage analysis.
8+ years of excellent communication, presentation, and interpersonal skills.
Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment.
Exceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner.
Exceptional verbal and written communication skills.
Excellent organizational, analytical, and problem-solving skills with high-level attention to detail.
Proven ability to multitask and prioritize in a fast past environment with changing priorities; adaptable to change and a quick learner.
Must be self-motivated and able to work well independently as well as on a multi-functional team.
Ability to handle sensitive and confidential information appropriately.
Proficient in MS Office, Word, Outlook, PowerPoint, and Excel.

Nice To Haves

5+ years of experience with Business Intelligence/Data Warehouse.
5+ years of experience acting as the primary point of contact for program staff with metadata/glossary needs for analytics projects.
5+ years of experience working in a health and human services or similarly regulated environment, with a strong understanding of agency metadata requirements.
5+ years of experience with data governance and data quality principles.
5+ years of experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC) and Axon Data Governance.
2+ years of experience championing data literacy across the organization.
2+ years of experience training and mentoring staff with varying levels of data literacy.
1+ year of experience with AI prompt development.

Responsibilities

Work with program areas, project sponsors, and system subject matter experts (SMEs) to understand data domains and common data quality issues.
Elicit, document, and refine business and data requirements related to data quality, data profiling, and analytics.
Explain technical findings, data quality issues, and data limitations in clear, simple, non‑technical language to end‑users, stakeholders, and leadership.
Extract, integrate, and analyze sample data from multiple complex internal and external sources to support analytics and data quality assessment needs.
Perform detailed data profiling to identify patterns, anomalies, data quality issues, and opportunities for improvement across multiple data domains.
Collaborate with end‑users, performance analysts, and IT leadership to design and validate visualizations that communicate data quality profiles and trends for emerging analytics and reporting needs.
Provide subject matter expertise on validating AI‑generated outputs, with particular focus on identifying and mitigating hallucinations and ensuring accuracy and reliability of results.
Ensure all data outputs, profiles, and visualizations comply with applicable reporting standards, data governance policies, and compliance or regulatory requirements.
Champion data quality and data literacy across the organization by developing and conducting training sessions, workshops, and knowledge‑sharing forums for non‑technical staff.
Create clear, comprehensive documentation, glossaries, and tutorials on using data glossary and metadata tools for data understanding and synthesis.
Promote a data‑driven culture by enabling and empowering staff to effectively utilize data profiling tools, metadata tools, and AI to understand and improve data quality.
Work closely with data engineering, IT, and program/business teams to identify, troubleshoot, and resolve data‑related issues, including inconsistencies, data gaps, and quality defects.
Provide expert guidance to program staff and leadership on interpreting data trends, data quality metrics, and their impact on analytics, reporting, and operations.
Partner with data governance, compliance, and architecture teams to align data profiling findings with broader data governance and data quality initiatives.
Stay current on new AI, analytics, and data quality tools, methodologies, and techniques to continuously enhance data analytics, data quality, and reporting capabilities.
Develop and refine effective AI prompts and query strategies to accurately retrieve and synthesize data from complex data domains for profiling and analysis.
Guide non‑technical users in crafting precise prompts to obtain the data and insights they need, ensuring fidelity, reproducibility, and accuracy.
Develop and maintain a library of standardized prompts and query templates that support common data profiling, data quality, and reporting use cases.
Other duties as assigned.