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Business Intelligence Analyst Specialist
Job Description
Title: Business Intelligence Analyst Specialist
Work Hours: Mon –Fri –8am –5pm CST
Duration: 09/01/2026 - 08/31/2027
Location: Guadalupe, Texas
Position: Onsite
Responsibilities:
•Requirements and Testing
o Work with program areas and project sponsor to gather business requirements and translate into technical specifications.
o 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
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. 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. Actual
Years
Experience Years
Experience
Needed Required/
Preferred Skills/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 with Business Intelligence/Data Warehouse 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.
Work Hours: Mon –Fri –8am –5pm CST
Duration: 09/01/2026 - 08/31/2027
Location: Guadalupe, Texas
Position: Onsite
Responsibilities:
•Requirements and Testing
o Work with program areas and project sponsor to gather business requirements and translate into technical specifications.
o 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
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. 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. Actual
Years
Experience Years
Experience
Needed Required/
Preferred Skills/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 with Business Intelligence/Data Warehouse 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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LanceSoft is proud to announce that its Chief Executive Officer, Anju Abel, has been honored with the prestigious "Staffing Leader of the Year" award at the 2025 TIARA Staffing Awards US. The award recognizes her visionary leadership and significant contributions to improving staffing processes, employee engagement, and workforce outcomes.
Anju Abel's leadership has been instrumental in transforming LanceSoft's global staffing operations. Her focus on innovation, employee satisfaction, and client-centric delivery has led to higher retention rates, a motivated workforce, and enhanced operational efficiency.
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The judging panel highlighted Anju's ability to consistently deliver outstanding client success stories, exceed expectations, and foster professional development within her team. Her active community involvement and dedication to advancing the staffing industry were also key factors in her selection.
TIARA Awards are known for celebrating excellence, innovation, and achievement in the talent acquisition sector, and this accolade places Anju among the top leaders reshaping the future of workforce solutions.