Sr HR BI Analyst
Listed on 2026-08-10
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IT/Tech
Business Intelligence, Data Analyst, Data Engineering, Business Systems & Technology Analysis
Senior Human Resources Business Intelligence Analyst
A Senior Human Resources Business Intelligence Analyst partners with Human Resources, Payroll, and Information Technology to deliver scalable business intelligence solutions that drive data-informed workforce decisions. The Sr. HR BI Analyst is responsible for designing and maintaining Workday reports, EIB integrations, and interactive Power BI dashboards. Utilizing SQL and AWS, this position builds optimized data pipelines and reporting structures to ensure secure, high-performing data delivery.
Additionally, this position analyzes workforce trends, ensures strict data governance, and troubleshoots technical integration issues to continuously improve the organization's HR analytics capabilities.
What You'll Do:
Supervisory Responsibilities:
None
Minimum Education and Related
Work Experience:
- Master of Science degree in Business Analytics
- Two (2) years of experience in business intelligence, HR analytics, BI development, reporting, data analysis, or a related analytics role.
- Advanced experience developing, maintaining, and optimizing HR reporting, dashboards, datasets, and analytics solutions using SQL, AWS and PowerBI tools to access, prepare, analyze, visualize, and deliver data-driven insights.
- Two (2) years of experience with Workday reporting and integrations for HCM, Payroll, and Time and Attendance, including building, validating, troubleshooting, and supporting operational and analytical reports, Workday Orchestrate processes, EIB integrations, data movement, reporting dependencies, and data validation.
Additional Qualifications:
- Experience with additional HR Workday modules beyond HCM, Payroll, and Time and Attendance.
- Experience designing, developing, and supporting scalable BI solutions, datasets, reporting structures, and data models that improve HR decision-making.
- Experience with ETL, data integration, data warehousing, data preparation, data quality assurance, and troubleshooting reporting or data discrepancies across structured sources, flat files, APIs, databases, or cloud-based platforms as well as statistical analysis, forecasting, predictive analytics, or other advanced analytics methods.
- Strong data analysis and visualization skills, including the ability to identify trends, validate results, investigate variances, and build clear, reliable dashboards, reports, and KPI views.
- Strong understanding of HR data, business processes, data flows, data quality, data governance, and reporting standards in an enterprise environment.
- Advanced ability to translate business requirements into reporting solutions, data models, metrics, dashboards, and actionable insights.
University of Phoenix is an equal opportunity employer. If you are an active-duty military member seeking employment when off-duty, compliance with Department of Defense Joint Ethics Regulation, 5500-7-R, is required prior to starting employment with University of Phoenix. You are advised to contact your base Judge Advocate General to seek such approval and answer any questions.
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