Business Intelligence Analyst Specialist

Allied Consultants, Inc.•Austin, TX

About The Position

Allied Consultants, Inc is a proudly Austin based firm with over 34 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience Business Intelligence Analyst Specialist to play a key role within a high-impact technical services team. The Specialist position is rarely selected and should only be considered after all other levels have been exhausted. The Specialist position is considered an expert position that has a comprehensive and authoritative knowledge of or unique skillset in a particular area. The Business Intelligence Analyst use 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 able to look at large chunks of data and understand trends and then communicate those trends to the company. client's IT 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 at client's for the Performance Management & Analytics System (PMAS). As a senior analyst and tester on the agile development team, the worker responsibilities may include: 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 client's departments and agencies. This role empowers client 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 HHS 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.

Requirements

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

Nice To Haves

5 Years Preferred Experience with Business Intelligence/Data Warehouse
5 Years Preferred Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements.
5 Years Preferred Experience with data governance and data quality principles
2 Years Preferred Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff.
2 Years Preferred Experience training and mentoring staff with varying levels of data literacy.
1 Year Preferred Experience with creating AI prompt catalogs using tools such as Streamlit with Python.
1 Year Preferred Experience applying responsible AI practices and compliance with agency standards.

Responsibilities

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.
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.
Extract, integrate, and analyze data from multiple complex internal and external sources to support HHS 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 agency reporting standards, data governance, and compliance regulations.
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.
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.