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

Apply Now

Senior Project Controls Data Analyst

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

Position: Senior Project Controls Data Analyst


Location: Remote


Type: Full-time


Start Date: Immediate


Salary: £Competitive


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 Senior 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

Inspiring new ways to help shape our construction industry.


Our Ambition

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.
  • Merit‑based system enables fast development.
  • Transparent progression tracking and development highlights.
  • Small dynamic team where everyone can make a significant impact.
  • Celebration of achievements and mutual support.

Role Responsibilities

  • Building and managing robust data models and interactive dashboards.
  • Analyzing and documenting project control processes with a focus on digital transformation.
  • Leading periodic and ad‑hoc reporting; ensuring accuracy and clarity in monthly project review packs.
  • Supporting the Project Controls Lead in managing the Performance Measurement Baseline (PMB) and reporting KPIs across time, cost, risk, change, and quality.
  • Implementing performance measurement systems like Earned Value Management (EVM).
  • Integrating data across schedule, cost, scope, quality, change, and risk to provide a full picture of project health.
  • Sharing lessons learned and best practices across the wider Project Controls community.

About You – Essential Skills

  • Ability to lead teams of Analysts and collaborate data.
  • Experience on multi‑million pound contracts within large‑scale infrastructure or construction projects.
  • Strong experience with Power Query and DAX for transforming and analysing large datasets.
  • Proficiency in Power BI and advanced Excel (pivot, formulas, automation).
  • Experience within project controls, 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 transport, energy, or major infrastructure sectors.

Requirements and Location

  • Full right to work in the UK.
  • Remote 2 days / London 3 days.

Salary & Benefits

  • 25 days holiday (plus Bank Holidays)
  • Comprehensive Private Healthcare (Inc Dentist and Optician)
  • Life Assurance (x4 Salary)
  • Pension: employer 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 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

Senior Project Controls Data Analyst

Project Controls Data Analyst

Project Controls Data Analyst

Senior Data Engineer

Data Analyst and Systems implementation Lead

Data Engineer

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.