Business Intelligence Analyst

Business Intelligence Analyst

Full-Time 47070 - 57530 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and develop BI solutions to support decision-making across the organisation.
  • Company: Join Borr Drilling, a leader in safe and efficient drilling operations worldwide.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on digitalisation and AI-driven projects.
  • Why this job: Make an impact with data-driven insights and innovative analytics solutions.
  • Qualifications: Degree in Computer Science or related field; experience with Power BI and data analytics.

The predicted salary is between 47070 - 57530 £ per year.

The Business Intelligence Analyst is a cross‑functional role responsible for designing, developing, and maintaining Business Intelligence (BI), analytics, and AI‑enabled solutions that support strategic, tactical, and operational decision‑making across the organization. Working closely with stakeholders across key business functions, the role translates business requirements into high‑quality BI reports, including development of selected analytics and automation solutions, while ensuring appropriate documentation, governance, and ongoing support.

Responsibilities

  • Act as the primary functional support and escalation point for BI‑related incidents, enhancements, bug fixes, and logic updates.
  • Deliver small‑to mid‑sized BI reporting initiatives and manage associated change requests in line with agreed priorities and timelines.
  • Design, develop and maintain small to mid‑size analytics and automation solutions (e.g. BI logic enhancements, Power Automate flows, analytics pipelines), in addition to providing functional support and maintenance.
  • Maintain complete documentation and governance for all BI reports and digitalization solutions, including business logic, data sources, and dependencies.
  • Track and manage all change requests for BI reports and digital applications, ensuring version control, traceability, and release documentation.
  • Review and administer user access and security groups to ensure BI reports are shared with appropriate audiences in accordance with data security policies.
  • Monitor BI platform performance and Azure resource usage to proactively identify latency, stability, or capacity issues.
  • Maintain demand‑management documentation and ensure all required information is prepared and updated ahead of scheduled review meetings.
  • Provide backup support for demand and capacity planning activities, including preparation for prioritization forums and participation in discussion when required.
  • Provide user training and ongoing guidance on BI reports and digitalization products to promote adoption and effective usage.
  • Support AI‑driven initiatives, Proof of Concepts (POCs), and larger digitalization projects through data preparation, analysis, and reporting contributions.
  • Engage regularly with teams across regions and offshore to understand business processes, evolving requirements, and opportunities for analytics and automation.
  • Manage and maintain the BI reports repository in Azure Storage, ensuring structure, accuracy, and regular updates.
  • Administer licenses and manage access to the Power BI reporting environment, balancing security, performance, and accessibility.
  • Collaborate with IT Security to ensure data collection, storage, and reporting solutions are secure, resilient, and compliant with company policies.
  • Coordinate with third‑party service providers and internal IT teams to configure and maintain API‑based data integration pipelines.
  • Ensure compliance with IT change management, cybersecurity, and data governance policies.
  • Stay informed of industry trends, emerging technologies, and best practices by participating in relevant technology forums and knowledge‑sharing initiatives.

Qualifications and Experience

  • Bachelor’s degree in relevant technical disciplines such as Computer Science, Data Science, Business Analytics, Engineering, or a related field.
  • Proven experience gathering business requirements and translating them into functional and technical specifications.
  • Hands‑on experience designing and developing data‑driven reports, dashboards, metrics, and visualizations using the Microsoft Power BI platform.
  • Ability to manage priorities, meet deadlines, and adapt to changing requirements and schedules.
  • Experience working with Microsoft BI technologies and tooling, including Power BI, Power Query, DAX, and Azure components such as SQL Database, Data Factory, and data modeling.
  • Proven experience in data‑focused or analytics roles, supporting decision‑making through reporting and insights.
  • Exposure to, or strong interest in, modern analytics and automation technologies including Python, Microsoft Fabric, Copilot Studio, and Power Automate.
  • Demonstrated ability to take initiative, innovate, and contribute to digitalization and AI‑driven solutions with a structured, analytical approach.
  • Strong analytical and problem‑solving skills, with the ability to collect, analyze, and translate complex data into accurate and meaningful insights.
  • Effective communication skills and the ability to collaborate with both technical and non‑technical stakeholders in a cross‑functional team environment.

About Us

Borr Drilling deliver high quality drilling operations in hydrocarbon basins around the world. We do it safely – and efficiently. Our modern fleet of rigs and capable organization will deliver safe and high‑quality drilling operations to our customers. With a strong and experienced organizational culture, combined with a unique capital structure, Borr Drilling is built to make a difference.

Business Intelligence Analyst employer: 303 Borr Drilling Land Support Limited

Borr Drilling is an exceptional employer, offering a dynamic work environment where employees are encouraged to embody the company's vision and values in their daily activities. With a strong focus on safety and efficiency, employees benefit from a culture that prioritises collaboration across departments, alongside opportunities for professional growth and development within the offshore drilling sector. Located in a thriving industry, Borr Drilling provides its team with the chance to contribute to high-quality operations while enjoying a supportive atmosphere that fosters innovation and excellence.

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Contact Details:

303 Borr Drilling Land Support Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Business Intelligence Analyst

✨Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

✨Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like 303 Borr Drilling Land Support Limited!

✨Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

✨Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Business Intelligence Analyst

Business Intelligence (BI)
Data Analysis
Microsoft Power BI
Power Query
DAX
Azure SQL Database
Data Factory

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at 303 Borr Drilling Land Support Limited, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at 303 Borr Drilling Land Support Limited

✨Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

✨Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

✨Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

✨Know their business model

Get familiar with 303 Borr Drilling Land Support Limited’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.