FinOps BI Engineer: IT Cost & Cloud Dashboards

STATE STREET CORPORATION; Dublin; On-site; EUR 90,000 - 120,000; Full time

Job summary

STATE STREET CORPORATION is seeking a data analytics professional to build and support data models, dashboards, pipelines, and reports for the Technology Financial Operations Office in Dublin, Ireland. You will move recurring reporting from spreadsheets to governed BI products using Power BI and Fabric, ensuring reliable refreshes and clear ownership.

The role requires hands-on BI experience, strong data modeling skills, and collaboration with finance, cloud, and portfolio teams to enable cost

Qualifications

• Bachelor’s degree in data analytics, information systems, CS, finance or related field preferred.
• Hands-on BI experience with Power BI and Fabric, including Power Query and DAX.
• Experience building data models, reconciliations, and refresh processes across sources.
• Familiarity with IT cost transparency concepts like TCO and FinOps is a plus.

Responsibilities

• Build and maintain data pipelines, semantic models, dashboards, and refreshable reports.
• Modernize spreadsheet reporting into governed BI products with owners and support.
• Create reports supporting IT TCO, Cloud FinOps, portfolio, demand, and headcount.
• Document sources, calculations, and data lineage; ensure data quality.

Skills

Data analytics

Stakeholder communication

Problem solving

Attention to detail

Education

Bachelor’s degree in a related field

Equivalent experience considered

Experience with enterprise BI

Tools

Power BI

Microsoft Fabric

Power Query

DAX

SQL

Dataflows

Lakehouse

Job description

STATE STREET CORPORATION is seeking a data analytics professional to build and support data models, dashboards, pipelines, and reports for the Technology Financial Operations Office in Dublin, Ireland. You will move recurring reporting from spreadsheets to governed BI products using Power BI and Fabric, ensuring reliable refreshes and clear ownership.

The role requires hands-on BI experience, strong data modeling skills, and collaboration with finance, cloud, and portfolio teams to enable cost