Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Project Controls Data Analyst

Cooper Moss Rutland
City of London
1 month ago
Create job alert

Join to apply for the Project Controls Data Analyst role at Cooper Moss Rutland.


🌟 Position: 226CMR: Project Controls Data Analyst
📍 Location: Remote 2 days / London 3 days
💼 Type: Full-time
📅 Start Date: Immediate
💰 Salary: £45,000 - £55,000


At Cooper Moss Rutland, we work with clients who are shaping the future of infrastructure and energy systems across the globe. We’re looking for a Project Controls Data Analyst to join a collaborative and forward-thinking team delivering some of the most exciting and complex projects in the industry. This is more than just a job — it’s an opportunity to grow intentionally, work flexibly, and make a real impact.


About us: CMR is first and foremost a team of people, passionate about the construction industry and changing the way project controls is provided. We are a progressive & dynamic consultancy offering tailored project controls services across a range of industries.


Our Purpose (Why we exist): Inspiring new ways to help shape our construction industry.


Our Ambition (What we want to achieve): Re-imagine project controls through a digital lens, being the obvious choice for clients and the place to grow together with intention.


What’s in it for you?

  • Opportunity to professionally develop like nowhere you have worked before – 22% of the business got promoted last year alone.
  • Merit-based system enables rapid development.
  • In-house capability matrix transparently tracks progression and highlights development areas.
  • Small, dynamic team where every member can make a significant impact.
  • Rewarding achievements, celebrating successes, and supporting each other during tough times.

Role responsibilities

  • Build and manage robust data models and interactive dashboards that deliver actionable insights and highlight key project risks.
  • Analyze and document project control processes with a focus on digital transformation and continuous improvement.
  • Lead periodic and ad-hoc reporting, ensuring accuracy and clarity in monthly project review packs.
  • Support the Project Controls Lead in managing the Performance Measurement Baseline (PMB) and reporting on KPIs across time, cost, risk, change, and quality.
  • Help implement performance measurement systems like Earned Value Management (EVM).
  • Integrate data across schedule, cost, scope, quality, change, and risk to provide a full picture of project health.
  • Share lessons learned and best practices across the wider Project Controls community.

About you

  • Strong experience with Power Query and DAX for transforming and analyzing large datasets.
  • Proficiency in Power BI for developing interactive dashboards and visual reports.
  • Advanced Excel skills, including complex formulas, pivot tables, and automation.
  • Familiarity with Microsoft Power Platform (Power Apps, Power Automate, Power BI).
  • Experience in project controls within large-scale infrastructure or construction projects.
  • Understanding of schedule, cost, and risk management principles.
  • Ability to work effectively in a matrix environment and communicate with senior stakeholders.
  • Knowledge of NEC contracts and experience in sectors such as transport, energy, or major infrastructure.

Benefits

  • 25 days holiday (plus Bank Holidays)
  • Comprehensive Private Healthcare (Inc Dentist and Optician)
  • Life Assurance (x4 Salary)
  • Pension: employers’ contribution of 4%
  • Company and personal performance-based bonus
  • Salary Sacrifice Scheme
  • Long Service Leave
  • Training and professional development
  • Regular social events
  • Perkbox – employee experience platform

Next steps

To apply to our vacancy please submit a copy of your CV for consideration. We look forward to hearing from you!


CMR welcomes and encourages diversity in our workforce. CMR is Disability Confident, Committed and an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin or disability or any other protected characteristics. We aim to create a culture where everyone can be themselves and is valued for their strengths and unique perspectives.


#J-18808-Ljbffr

Related Jobs

View all jobs

Project Controls Data Analyst

Senior Project Controls Data Analyst

Senior Project Controls Data Analyst

Data analyst (Project Controls)

Consultant Data Analyst

Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.