FinOps BI Analyst for Enterprise AI Spend & Dashboards

WideNet Consulting Group; East Providence (RI); On-site; USD 90,000 - 103,000; Full time

Benefits offered by this job

Health & Medical Benefits

401K

Employee Assistance Program

Sick Time

Job summary

WideNet Consulting Group is seeking a BI Analyst with FinOps experience to turn raw AI usage data into meaningful reporting and dashboards for business leaders. You will collaborate with engineers to map costs to teams and use cases, and you will provide data to support ROI for AI investments.

The role requires comfort with large usage datasets, strong BI tooling skills, and a rigorous, detail-oriented approach to data. Hybrid/onsite work with competitive compensation is offered.

Qualifications

• Background in FinOps, financial analysis, or business intelligence (BI).
• Experience building attribution/showback dashboards and cost reporting at enterprise scale.
• Comfort working with large, complex usage datasets and turning them into a clear narrative.
• Experience with BI/dashboarding tools; familiarity with Grafana a plus.

Responsibilities

• Turn raw AI usage data into clear, actionable financial reporting.
• Build and maintain showback reporting for AI spend across the enterprise.
• Partner with engineers to build attribution dashboards that map cost back to specific teams and use cases.
• Arm business unit leaders with the spend data they need to manage their own budgets.
• Supply business leaders with data to support ROI cases for continued or expanded AI investment.
• Run utilization assessments, including analysis of usage trends (”run off” vs. ”run up”).
• Extend or reimagine existing dashboarding (currently built in Grafana), proposing new reporting approaches where useful.

Skills

FinOps

Financial analysis

Business Intelligence

Tools

Grafana

Job description

WideNet Consulting Group is seeking a BI Analyst with FinOps experience to turn raw AI usage data into meaningful reporting and dashboards for business leaders. You will collaborate with engineers to map costs to teams and use cases, and you will provide data to support ROI for AI investments.

The role requires comfort with large usage datasets, strong BI tooling skills, and a rigorous, detail-oriented approach to data. Hybrid/onsite work with competitive compensation is offered.