At a Glance
- Tasks: Lead data-driven insights to enhance infrastructure performance and decision-making.
- Company: Join a forward-thinking company focused on network reliability and efficiency.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and drive continuous improvement in a dynamic environment.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Strong analytical skills and experience in performance analysis within infrastructure.
The predicted salary is between 60000 - 75000 £ per year.
Turn data into insight. Improve performance. Enable smarter infrastructure decisions. The Infrastructure Intelligence Lead plays a critical role in delivering insight that improves the reliability, efficiency, and value of MBNL’s network infrastructure. Sitting within the Infrastructure directorate, this role uses data, analytics, and performance frameworks to provide a clear view of asset performance—supporting maintenance, investment, and operational decision‑making. Working closely with Asset Management, Operations, and senior stakeholders, the role translates complex data into actionable insight that protects service, reduces risk, and drives continuous improvement.
Why this role matters: MBNL’s ability to deliver high‑quality network performance depends on strong data, clear insight, and informed decision‑making. This role provides the evidence base that underpins performance improvement, risk management, and investment prioritisation. By embedding consistent metrics, robust analytics, and clear reporting, this role helps MBNL operate more efficiently, respond proactively to risks, and maximise value from its infrastructure assets. This is a hybrid role with a minimum of 2 days per week in our Central Reading office.
What you’ll be here to do: You’ll lead performance insight and analytics across infrastructure, enabling better decisions and stronger operational outcomes. You’ll:
- Define, track, and evolve KPIs and KRIs across asset health, reliability, availability, safety, cost, and service performance
- Build dashboards and reports that translate complex data into clear, actionable insight for stakeholders
- Analyse trends, variances, and root causes, quantifying impact on cost, risk, and service outcomes
- Benchmark performance against internal targets and industry standards
- Source, integrate, and assure data from multiple systems, ensuring accuracy and integrity
- Develop repeatable analytics and reporting processes to support consistent insight
- Support asset and reliability programmes, including maintenance strategy and lifecycle optimisation
- Provide evidence to inform investment decisions and operational interventions
- Support governance processes, including performance reporting, assurance, and audit requirements
- Identify opportunities for automation, improved data quality, and continuous improvement
Who we’re looking for: You’re a data‑driven professional with strong analytical capability and a focus on turning insight into practical outcomes. You’re comfortable working across technical and operational teams, communicating complex information clearly, and influencing decision‑making. You’ll bring:
- Experience in performance analysis within infrastructure, operations, or asset‑intensive environments
- Strong data and analytics skills (Excel, SQL, and Power BI or similar tools)
- Understanding of asset management concepts, including reliability and lifecycle planning
- The ability to translate data into clear recommendations for operational and senior stakeholders
If you also have the following, we’re especially interested in talking to you: Experience with EAM/CMMS systems, IoT/telemetry data, ISO 55000 frameworks, or regulated sectors. Professional certifications: Data/BI (e.g., Microsoft Power BI/Data Analyst Associate), Reliability/Asset Management (e.g., IAM Certificate, CMRP), Project/Process (e.g., Lean Six Sigma).
Infrastructure Intelligence Lead employer: Mobile Broadband Network Ltd (MBNL)
At MBNL, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid working model allows for flexibility while our Central Reading office serves as a hub for professional growth and development. With a strong focus on data-driven decision-making, we offer employees the opportunity to make a meaningful impact on network performance and infrastructure reliability, supported by continuous learning and career advancement opportunities.
Contact Details:
Mobile Broadband Network Ltd (MBNL) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Infrastructure Intelligence Lead
✨Tip Number 1
Network with industry professionals! Attend events, webinars, or local meetups related to infrastructure and data analytics. This is a great way to make connections and learn about job openings that might not be advertised.
✨Tip Number 2
Showcase your skills through projects! Create a portfolio of your work, especially if you’ve built dashboards or conducted performance analysis. This tangible evidence can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and infrastructure management. Be ready to discuss how you've turned complex data into actionable insights in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us improve our network performance. Your next opportunity could be just a click away!
We think you need these skills to ace Infrastructure Intelligence Lead
Some tips for your application 🫡
Show Your Data Skills:Make sure to highlight your experience with data analysis tools like Excel, SQL, and Power BI. We want to see how you've turned complex data into actionable insights in your previous roles.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their background to what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your achievements and how they relate to the role. We appreciate clarity as much as you do!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Mobile Broadband Network Ltd (MBNL)
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools mentioned in the job description, like Excel, SQL, and Power BI. Prepare to discuss how you've used these tools to derive insights from complex datasets in your previous roles.
✨Showcase Your Analytical Skills
Be ready to provide examples of how you've defined and tracked KPIs and KRIs in past projects. Highlight specific instances where your analysis led to improved performance or cost savings, as this will resonate with the role's focus on actionable insights.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to demonstrate your ability to translate technical information into clear recommendations for stakeholders, so think of ways to simplify your past experiences for a non-technical audience.
✨Prepare for Scenario Questions
Anticipate questions that ask how you would handle specific challenges related to asset management or performance improvement. Think through scenarios where you had to analyse trends or variances and be prepared to discuss your thought process and outcomes.
