Vector Consulting, Inc

Business Intelligence Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Analyst on a 12+ month onsite contract in Austin, TX, offering competitive pay. Key skills include SQL, data visualization (Power BI/Tableau), and experience in complex data analysis and AI prompting techniques.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
July 7, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Austin, TX
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🧠 - Skills detailed
#Consulting #AI (Artificial Intelligence) #Complex Queries #Python #BI (Business Intelligence) #Data Extraction #Streamlit #Data Warehouse #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Access #Microsoft Power BI #Data Analysis #Agile #Monitoring #Data Quality #Documentation #Tableau #Stories #Compliance #Datasets #Visualization #Data Engineering #Data Governance
Role description
Our government client is seeking an experienced Business Intelligence Analyst on an onsite 12+ months renewable contract opportunity in Austin, TX. Role: Business Intelligence Analyst Job Description The Worker will serve as a senior Business/Systems analyst gathering business and technical requirements, data requirements, business rules, acceptance criteria, including non-visualization business requirements, and then translating to test plans, test scenarios and test cases for a full requirements traceability matrix. The worker will facilitate integration of technical data sources across the departments and agencies. This role empowers staff to effectively develop complex queries, often using AI prompting techniques to access, synthesize, and report accurate data for official, agency reporting and strategic decision-making. The ideal candidate has strong analytical skills, a deep understanding of programs and data, strong history of BI/DW development, and exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI. Responsibilities β€’ Requirements and Testing β€’ Work with program areas and project sponsor to gather business requirements and translate into technical specifications. β€’ Lead as Test Manager creating test plans and test cases that integrate from Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts β€’ Translate complex data requests and operational requirements into clear, actionable queries for AI against complex analytics data sources. β€’ Explain technical findings and data limitations in simple, non-technical language to end-users. β€’ AI Prompting and Data Synthesis β€’ Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex datasets. β€’ Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy. β€’ Develop a library of standardized prompts and query templates for common reporting needs. β€’ Data Reporting and Visualization β€’ Extract, integrate, and analyze data from multiple complex internal and external sources to support program needs. β€’ Collaborate 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. β€’ Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations. β€’ Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations. β€’ Data Literacy and Training β€’ Champion data literacy across the organization by developing and conducting AI training sessions for non-technical staff. β€’ Create clear, comprehensive documentation and tutorials on using AI tools for data synthesis. β€’ Promote a data-driven culture by enabling and empowering all employees to effectively utilize data and AI. β€’ Collaboration and Problem-Solving β€’ Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies. β€’ Provide expert guidance to program staff on interpreting data trends and answering complex data questions. β€’ Stay up to date on new AI and data analytics tools and techniques to continuously improve data access, data quality and reporting. Qualifications 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 with Business Intelligence/Data Warehouse 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. About Vector: Vector Consulting, Inc., (Headquartered in Atlanta) is an IT Talent Acquisition Solutions firm committed to delivering results. Since our founding in 1990, we have been partnering with our customers, understanding their business, and developing solutions with a commitment to quality, reliability and value. Our continuing growth has been and continues to be built around successful relationships that are based on our organization's operating philosophy and commitment to β€’ β€’ People, Partnerships, Purpose and Performance - THE VECTOR WAY www.vectorconsulting.com β€œCelebrating 35+ years of service”