SEDAA

Business Performance Analyst

SEDAA · Oakland, California, United States · $60K–$70K/yr

Business Consulting and Services · 51-200 employees

7 h ago
Mid (2-5 yrs) Contractor United States
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About the role

The analyst will track and govern AI use cases across the enterprise while maintaining dashboards and reporting on value realization. They will coordinate with stakeholders to ensure data accuracy and support program operations through effective communication and documentation.

What they look for

Portfolio Management Data Analysis Value Tracking Governance Excel SharePoint Power BI PowerPoint Word Teams Reporting Automation Process Improvement Data Visualization Communication Organization Attention To Detail

Requirements

Candidates should possess strong organizational skills and proficiency in Microsoft tools like Excel, SharePoint, and Power BI. The role requires clear written communication and the ability to manage follow-ups across multiple workstreams in a regulated enterprise environment.

Full description

***************CANDIDATE NEED TO BE NEAR WORK LOCATION *******NO C2C****************ASSIGNMENT IS HYBRID & REMOTE AND REMAINING ON-SITE ONCE A WEEK AT OAKLAND, CA

Details

ID: Sedaa4780

Title: Business Performance Analyst Associate

Location: Oakland, CA Hybrid

Rate: 60k to 70k annually

12 months project with a possibility of extension

If the candidate is local, there is an expectation of hybrid in-office availability (roughly 1 day/week)

TOP THINGS:

Strong organization, attention to detail, and ability to manage follow-ups across multiple workstreams

Clear written communication skills, including the ability to summarize status, issues, and next steps for business and technical stakeholders.

Comfort working with portfolio, operational, or governance data in tools such as Excel, SharePoint, PowerBI, PowerPoint, Word and Teams.

Enterprise AI Portfolio Management Program - Value Capture Analyst

Role Overview

The Enterprise AI Portfolio & Value Capture Analyst will support CLIENT’s Enterprise AI Portfolio Program by strengthening how AI use cases are tracked, governed, valued, and reported across the enterprise. This role combines portfolio support, value tracking, and data analysis to ensure AI initiatives are accurately documented, aligned to enterprise priorities, and visible through trusted dashboards and reports.

The analyst will support dashboard maintenance, use case outreach, and coordination with governance stakeholders and reporting teams. A successful candidate will be comfortable with cross-functional outreach, Microsoft tools such as Excel, SharePoint, and Power BI, and develop analysis that informs leadership decision-making in a large, regulated enterprise.

Key Responsibilities

  • Track AI use cases across intake, governance, delivery, production readiness, ownership, status, and value realization.
  • Support value capture documentation, including projected value, realized benefits, savings, costs, assumptions, and key metrics.
  • Maintain and reconcile portfolio data across trackers, dashboards, reports, and source systems to improve accuracy and completeness.
  • Analyze portfolio trends such as value, pipeline mix, platform usage, functional area, lifecycle stage, funding needs, and delivery readiness.
  • Coordinate with use case owners and governance stakeholders to gather missing information, confirm status, and resolve open items.
  • Support program operations, including meeting notes, action items, status updates, follow-up communications, registration checks, and artifact organization.

Skills & Qualifications

  • Strong organization, attention to detail, and ability to manage follow-ups across multiple workstreams.
  • Clear written communication skills, including the ability to summarize status, issues, and next steps for business and technical stakeholders.
  • Comfort working with portfolio, operational, or governance data in tools such as Excel, SharePoint, Power BI, PowerPoint, Word, and Teams.
  • Experience or interest in Power Apps, Power Automate, data visualization, or reporting automation.
  • Ability to identify process gaps, improve data quality, and propose practical operational improvements.
  • Interest in AI, portfolio management, technology governance, value tracking, data analysis, or business operations.