Data Analyst (15+)

InnoSoul•Austin, TX

19h•Onsite

About The Position

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. 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 Worker will serve as a technical lead and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS 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 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.
Experience gathering business requirements and translating complex data requests and operational requirements into clear, actionable queries for complex analytics data sources
Experience explaining technical findings and data limitations in simple, non-technical language to end-users.
Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
Strong experience with SQL for data extraction and manipulation.
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.
Excellent communication, presentation, and interpersonal skills.
Experience with data visualization tools such as Power BI and/or Tableau.

Nice To Haves

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