BI & Analytics Engineer — AI‑Enabled Data Solutions

Borr Drilling Ltd; Aberdeen City; On-site; GBP 45,000 - 65,000; Full time

Job summary

Borr Drilling Ltd is seeking a Business Intelligence Analyst to design, develop, and maintain BI reports and analytics that drive strategic decisions across the organization. You will translate business requirements into high-quality BI artifacts, support AI-enabled initiatives, and ensure governance and documentation are in place.

You will work with stakeholders across regions, administer Power BI licenses, monitor Azure resources, and contribute to automation and data preparation efforts.

Qualifications

• Bachelor’s degree in a technical field (e.g., Computer Science, Data Science, Engineering or related).
• Experience designing and developing data-driven reports, dashboards, metrics, and visuals using Power BI.
• Strong ability to manage priorities, meet deadlines, and adapt to changing requirements.

Responsibilities

• Design, develop and maintain BI reports and dashboards to support strategic, tactical, and operational decisions.
• Act as the primary support point for BI incidents, enhancements, bugs, and logic updates.
• Deliver BI reporting initiatives and manage change requests with clear documentation and governance.

Skills

Analytical thinking

Stakeholder communication

Problem solving

Prioritization

Education

Bachelor's degree in Computer Science / Data Science / Business Analytics / Engineering

Tools

Power BI

Power Query

DAX

Azure SQL Database

Data Factory

Power Automate

Job description

Borr Drilling Ltd is seeking a Business Intelligence Analyst to design, develop, and maintain BI reports and analytics that drive strategic decisions across the organization. You will translate business requirements into high-quality BI artifacts, support AI-enabled initiatives, and ensure governance and documentation are in place.

You will work with stakeholders across regions, administer Power BI licenses, monitor Azure resources, and contribute to automation and data preparation efforts.