Portfolio Analytics & Reporting Specialist
US Anesthesia Partners
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Job summary
US Anesthesia Partners seeks a Portfolio Reporting & Analytics Analyst – EPMO to develop and maintain enterprise portfolio dashboards, reports, and analytics using Power BI, Smartsheet, and Excel. You will partner with stakeholders to deliver governance-ready insights for weekly, monthly, quarterly, and annual reviews.
Responsibilities include designing executive dashboards, establishing KPI frameworks, ensuring data quality, and supporting demand, capacity, and prioritization with data-driven
Qualifications
- Bachelor's degree in business analytics, information systems, finance, or related field preferred.
- 3-7 years of experience in portfolio reporting, BI, data analytics, or PMO operations.
- Experience developing Power BI dashboards and executive reporting solutions.
Responsibilities
- Develops, maintains, and enhances enterprise portfolio dashboards, reports, and analytics using Power BI, Smartsheet, Excel, and other reporting tools.
- Serves as the primary admin for EPMO reporting and analytics solutions.
- Designs and maintains executive dashboards that provide visibility into project health, portfolio performance, strategic initiatives, resource utilization, risks, and KPIs.
- Collects, validates, analyzes, and reconciles project, financial, resource, and portfolio data from multiple systems and sources.
- Produces and distributes weekly, monthly, quarterly, and annual portfolio reports for leadership and governance committees.
Skills
Education
Tools
Job description
US Anesthesia Partners seeks a Portfolio Reporting & Analytics Analyst – EPMO to develop and maintain enterprise portfolio dashboards, reports, and analytics using Power BI, Smartsheet, and Excel. You will partner with stakeholders to deliver governance-ready insights for weekly, monthly, quarterly, and annual reviews.
Responsibilities include designing executive dashboards, establishing KPI frameworks, ensuring data quality, and supporting demand, capacity, and prioritization with data-driven
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