Business Intelligence Analyst Specialist

Roles/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 hybrid Agile sprint cycles epics and stories as 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 sessions 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.

Mandatory Skills:

1. 10 year- Experience gathering business requirements and translating complex data requests and operational requirements into clear actionable queries for complex analytics data sources
2. 10 year- Experience explaining technical findings and data limitations in simple non-technical language to end-users.
3. 10 year- Experience in a complex data analysis senior business/systems analyst and/or data liaison role.
4. 10 year- Strong experience with SQL for data extraction and manipulation.
5. 10 year- 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.
6. 10 year- Excellent communication presentation and interpersonal skills.
7. 10 year- Experience with data visualization tools such as Power BI and/or Tableau.

Desirable Skills:

1. 5 years-Experience leading as a technical project manager creating hybrid Agile sprint cycles epics and stories as well as Waterfall project plans and project artifacts
2. 5 years-Experience with Business Intelligence/Data Warehouse
3. 5 years-Experience acting as the primary point of contact for program staff with data needs for federal state and internal reporting.
4. 5 years-Experience working in a health and human services or similarly regulated environment with a strong understanding of program data and reporting requirements.
5. 5 years-Experience with data governance and data quality principles
6. 2 years- Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff.
7. 2 years- Experience training and mentoring staff with varying levels of data literacy.
8. 1 years- Experience with creating AI prompt catalogs using tools such as Streamlit with Python.
9. 1 years- Experience applying responsible AI practices and compliance with agency standards.