AI-Driven BI Analyst - Power BI, Analytics & Automation

303 Borr Drilling Land Support Limited; Aberdeen City; On-site; GBP 42,000 - 64,000; Full time

Job summary

Borr Drilling is seeking an experienced Business Intelligence Analyst to design, develop, and maintain BI and analytics solutions across the organization. You will translate business requirements into high‑quality BI reports using Power BI, plus automation and AI-enabled analytics, with solid governance and documentation throughout.

The role requires collaboration with stakeholders, development of analytics pipelines, and ongoing support for BI reports while ensuring data security and compliance

Qualifications

• Bachelor’s degree in a technical field and strong BI/reporting background.
• Hands-on experience building Power BI reports and dashboards.
• Experience with Microsoft BI tech and Azure data services.
• Familiarity with automation tools and AI-enabled analytics.
• Ability to translate business requirements into technical specs.

Responsibilities

• Act as BI support point for incidents, changes, and fixes.
• Deliver small‑to‑mid BI reporting initiatives and manage change requests.
• Develop analytics and automation solutions (Power BI logic, flows, pipelines).
• Maintain documentation and governance for BI reports and data sources.
• Administer access, monitor performance, and ensure data security compliance.
• Provide user training and assist AI-driven initiatives with data prep and reporting.

Skills

Power BI

Power Query

DAX

Azure Data Factory

Azure SQL Database

Data Modeling

Python

Microsoft Fabric

Copilot Studio

Power Automate

Education

Bachelor’s degree in Computer Science / Data Science / Business Analytics

Tools

Power Automate

Copilot Studio

Microsoft Fabric

Job description

Borr Drilling is seeking an experienced Business Intelligence Analyst to design, develop, and maintain BI and analytics solutions across the organization. You will translate business requirements into high‑quality BI reports using Power BI, plus automation and AI-enabled analytics, with solid governance and documentation throughout.

The role requires collaboration with stakeholders, development of analytics pipelines, and ongoing support for BI reports while ensuring data security and compliance