Business Intelligence Analyst

Cayuse Holdings

Business Intelligence Analyst at Cayuse using data to drive key organizational decisions and efficiency. Serving as a technical lead in BI analytics and reporting for multiple clients.

Posted 6/11/2026full-timeAustin • Texas • 🇺🇸 United StatesSeniorLead💰 $93,600 - $133,120 per yearWebsite

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

Serve as technical lead and primary liaison between IT/data teams and business/program stakeholders for analytics and reporting needs.
Work with program and business areas to gather, analyze, and document business requirements, translating them into clear technical specifications for BI, analytics, and AI‑driven solutions.
Lead as a technical project manager, creating and managing hybrid Agile sprint cycles (epics, stories, backlogs) as well as Waterfall project plans and associated project artifacts.
Act as the primary point of contact for staff with data needs for external (e.g., federal, state, regulatory) and internal reporting.
Translate complex data requests and operational requirements into clear, actionable queries for AI and traditional BI tools against complex analytics data sources.
Explain technical findings, constraints, and data limitations in clear, concise, non‑technical language tailored to diverse audiences.
Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex, multi‑source datasets.
Guide non‑technical users in crafting precise prompts to obtain the data and insights they need, ensuring fidelity, reproducibility, and accuracy.
Design, build, and maintain a catalog or library of standardized prompts and query templates for common reporting, performance, and compliance needs.
Integrate AI‑driven insights into existing BI and reporting workflows while maintaining data quality, traceability, and responsible AI practices.
Extract, integrate, transform, and analyze data from multiple complex internal and external sources to meet program, operational, and strategic needs.
Collaborate with end‑users, performance analysts, and IT leadership to design, develop, and validate reports, dashboards, and data visualizations that support program monitoring and official reporting.
Provide subject matter expertise on validating AI outputs, including identifying, explaining, and mitigating hallucinations and other AI risks.
Ensure that all data outputs comply with applicable reporting standards, data governance policies, and regulatory or contractual requirements.
Optimize BI solutions for usability, performance, and maintainability.
Champion data literacy across the organization, promoting a culture of data‑informed and AI‑assisted decision‑making.
Develop and deliver training sessions, workshops, and coaching for non‑technical staff on interpreting data, using BI tools, and leveraging AI for data synthesis and analysis.
Create clear, comprehensive documentation, user guides, and tutorials on utilizing BI platforms and AI tools for querying and reporting.
Mentor staff with varying levels of data literacy, helping them increase their skills and confidence in working with data and AI.
Work closely with data engineering, IT, and program/business teams to troubleshoot data‑related issues and resolve data quality, integration, and consistency problems.
Provide expert guidance to program and business staff on interpreting data trends, identifying root causes, and developing data‑driven recommendations.
Collaborate on data governance initiatives, including data stewardship, metadata management, and data quality improvement strategies.
Stay current with emerging AI, analytics, BI, and data visualization tools and techniques, and recommend enhancements to improve data access, data quality, and reporting capabilities.

Requirements

What you’ll need

10+ years of experience gathering business requirements and translating complex data requests and operational requirements into clear, actionable queries for complex analytics data sources.
10+ years of experience explaining technical findings and data limitations in simple, non‑technical language to end‑users and stakeholders.
10+ years of experience in a complex data analysis role, such as senior business analyst, senior systems analyst, BI analyst, or data liaison.
10+ years of strong, hands‑on experience with SQL for data extraction, transformation, and manipulation.
10+ years of experience collaborating with end‑users and performance analysts or IT leaders to create and validate reports, dashboards, and data visualizations for monitoring and official reporting.
10+ years of demonstrated excellence in communication, presentation, and interpersonal skills, including stakeholder management and executive‑level briefings.
10+ years of experience with data visualization tools such as Power BI and/or Tableau (or equivalent enterprise BI platforms).
Must be able to pass a background check.

Benefits

Comp & perks

Medical, Dental and Vision Insurance
Wellness Program
Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
Short-Term and Long-Term Disability options
Basic Life and AD&D Insurance (Company Provided)
Voluntary Life and AD&D options
401(k) Retirement Savings Plan with matching after one year
Paid Time Off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdata extractiondata transformationdata manipulationdata analysisreportingdata visualizationAI-driven solutionsBI solutionsquery strategies

Soft Skills

communicationpresentationinterpersonal skillsstakeholder managementmentoringtrainingcollaborationproblem-solvingdata literacytechnical explanation