Business Intelligence Analyst Specialist

Business Intelligence Analyst Specialist
 
Client is seeking 1 Business Intelligence Analyst Specialist who meets the general qualifications of Business Intelligence Analyst Specialist, Data/Database Administration, Emerging Technologies, and the specifications outlined below.
 
All work products resulting from the project shall be considered “works made for hire” and are the property of the Client. Client may include pre-selection requirements that potential vendors and candidates submit to and satisfy criminal background checks as authorized by law. Client will pay no fees for interviews or discussions, which occur during the process of selecting a candidate.
 
Position Overview
Client is doing a targeted data curation in the Performance Management & Analytics System (PMAS) for Medicaid Reporting on Medicaid Personal Care Services.
 
This development effort will utilize an agile methodology based upon the approach currently in use by Client for the Performance Management & Analytics System (PMAS).
The Business Intelligence Analyst Specialist is considered an expert position that has a comprehensive and authoritative knowledge of or unique skillset in a particular area. The Business Intelligence Analyst uses data to figure out market and business trends for companies to increase profits and efficiency. They may work directly for a company or as a consultant. They are able to look at large chunks of data and understand trends, and then communicate those trends to the company.
 
As a senior analyst and tester on the agile development team, the worker responsibilities may include 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 Client departments and programs. This role empowers Client staff to effectively develop complex queries, often using AI prompting techniques to access, synthesize, and report accurate data for official reporting and strategic decision-making.
 
The ideal candidate has strong analytical skills, a deep understanding of health and human services 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
Requirements and Testing
• Work with program areas and project sponsor to gather business requirements and translate into technical specifications.
• 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.
• Translate complex data requests and operational requirements into clear, actionable queries for AI against complex analytics data sources.
• Explain technical findings and data limitations in simple, non-technical language to end-users.
AI Prompting and Data Synthesis
• Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex datasets.
• Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
• Develop a library of standardized prompts and query templates for common reporting needs.
Data Reporting and Visualization
• Extract, integrate, and analyze data from multiple complex internal and external sources to support Client program needs.
• 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.
• Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
• Ensure all data outputs adhere to reporting standards, data governance, and compliance regulations.
Data Literacy and Training
• Champion data literacy across the organization by developing and conducting AI training sessions for non-technical staff.
• Create clear, comprehensive documentation and tutorials on using AI tools for data synthesis.
• Promote a data-driven culture by enabling and empowering all employees to effectively utilize data and AI.
Collaboration and Problem-Solving
• Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.
• Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
• Stay up to date on new AI and data analytics tools and techniques to continuously improve data access, data quality and reporting.
Minimum Requirements
• 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.
• 10 years of experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
• 10 years of strong experience with SQL for data extraction and manipulation.
• 10 years of 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 years of excellent communication, presentation, and interpersonal skills.
• 10 years of experience with data visualization tools such as Power BI and/or Tableau.
Preferred Qualifications
• 5 years of experience with Business Intelligence/Data Warehouse.
• 5 years of experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements.
• 5 years of experience with data governance and data quality principles.
• 2 years of experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff.
• 2 years of experience training and mentoring staff with varying levels of data literacy.
• 1 year of experience with creating AI prompt catalogs using tools such as Streamlit with Python.
• 1 year of experience applying responsible AI practices and compliance with Client standards.