Business Intelligence Analyst (Required Local Candidates with Public sector exp)

Responsibilities
• Strategic Liaison and Translation


o Work with program areas and project sponsor to gather business requirements and translate into technical specifications.


o Lead as technical project manager creating h ybrid Agile sprint cycles, epics and stories, a s well as Waterfall project plans and all project artifacts


o Act as the primary point of contact for program staff with data needs for federal, state, and internal reporting.


o Translate complex data requests and operational requirements into clear, actionable queries for AI against complex analytics data sources .


o Explain technical findings and data limitations in simple, non-technical language to end-users.
• AI Prompting and Data Synthesis


o Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex datasets .


o Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.


o Develop a library of standardized prompts and query templates for common reporting needs.
• Data Reporting and Visualization


o Extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs.


o 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.


o Provide subject matter expertise on validating output from AI , particularly with respect to identifying and mitigating hallucinations.


o Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
• Data Literacy and Training


o Champion data literacy across the organization by developing and conducting AI training session s for non-technical staff.


o Create clear, comprehensive documentation and tutorials on using AI tools for data synthesis.


o Promote a data-driven culture by enabling and empowering all employees to effectively utilize data and AI.
• Collaboration and Problem-Solving


o Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.


o Provide expert guidance to program staff on interpreting data trends and answering complex data questions.


o Stay up to date on new AI and data analytics tools and techniques to continuously improve data access, data quality and reporting.

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.


III. TERMS OF SERVICE


Services are expected to start 09/01/2026 and are expected to complete by 08/31/2027 . Total estimated hours per Candidate shall not exceed 2008 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.