Ampcus inc

Business Intelligence Analyst Specialist

Ampcus inc$85K — $110K *
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10 years of experience in gathering business requirements and translating complex data into actionable queries.
  • 10 years of experience simplifying technical findings for non-technical users.
  • 10 years in a complex data analysis or data liaison role.
  • 10 years of strong SQL skills for data extraction and manipulation.
  • 10 years of experience working with end-users to create valid reports and dashboards.
  • 10 years of excellent communication and interpersonal skills.
  • 10 years of experience using data visualization tools like Power BI or Tableau.

Responsibilities

  • Serve as a strategic liaison to gather business requirements and translate them into technical specifications.
  • Lead technical projects by managing hybrid Agile and Waterfall project plans and artifacts.
  • Act as the main point of contact for program staff requiring data for reporting.
  • Translate complex data requests into clear AI-driven queries.
  • Develop effective AI prompts for data retrieval and guide users on crafting their prompts.
  • Extract and analyze data from various complex sources for program support.
  • Champion data literacy by conducting AI training sessions for non-technical staff.

Benefits

  • Opportunity to work at the intersection of technology and public health.
  • Access to ongoing training and development opportunities.
  • Exposure to advanced data technologies and AI methodologies.
  • Contribute to strategic decision-making in health and human services.
  • Collaborative work environment with a focus on professional growth.
Full Job Description
Job Title: Business Intelligence Analyst Specialist

Location(s): Austin, TX

Overview
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.

Responsibilities
  • Strategic Liaison and Translation
    • 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.
  • 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 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.
  • 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.

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.

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