Business Intelligence Analyst Specialist

Business Intelligence Analyst Specialist

Category: Data/Database Administration

Work type: Full time, onsite only

Location: 4601 W Guadalupe Street, Austin, Texas 78751

Local candidates only: Must already reside in Texas

Start date: September 1, 2026

End date: August 31, 2027

Estimated hours: 2,008 hours

Contract renewals: Up to 3 one-year renewals

II. Candidate Skills and Qualifications

Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years - Required/Preferred - Experience

10 - Required - Experience gathering business requirements and translating complex data requests and operational requirements into clear, actionable queries for complex analytics data sources

10 - Required - Experience explaining technical findings and data limitations in simple, non-technical language to end-users.

10 - Required - Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.

10 - Required - Strong experience with SQL for data extraction and manipulation.

10 - Required - Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting.

10 - Required - Excellent communication, presentation, and interpersonal skills.

10 - Required - Experience with data visualization tools such as Power BI and/or Tableau.

5 - Preferred - Experience leading as a technical project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and project artifacts

5 - Preferred - Experience with Business Intelligence/Data Warehouse

5 - Preferred - Experience acting as the primary point of contact for program staff with data needs for federal, state, and internal reporting.

5 - Preferred - Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements.

5 - Preferred - Experience with data governance and data quality principles

2 - Preferred - Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff.

2 - Preferred - Experience training and mentoring staff with varying levels of data literacy.

1 - Preferred - Experience with creating AI prompt catalogs using tools such as Streamlit with Python.

1 - Preferred - Experience applying responsible AI practices and compliance with agency standards.