Financial Data Analyst - London Heathrow

TCR
Hounslow
4 months ago
Applications closed

Related Jobs

View all jobs

Financial Data Analyst

Financial Data Analyst

Financial Data Analyst – Power BI & BI Insights

Finance Data Analyst

Finance Data Analyst

Finance Data Analyst & Insights Lead (Excel & Power Query)

Financial Data Analyst - London Heathrow at TCR


We are seeking a commercially minded Revenue and Business Performance Analyst to join our Finance team at Heathrow. This role focuses on financial and operational performance — not IT development, coding, or systems work. The successful candidate will provide key insights through advanced use of Excel and Power BI to support cost control, revenue accuracy, and overall business improvement.


Key Responsibilities

  • Oversee and validate rental revenue data, ensuring accurate invoicing and contract updates.
  • Build and maintain operational dashboards using Power BI and Excel.
  • Conduct detailed financial and commercial analysis to inform strategic decisions.
  • Collaborate with Finance, Operations, and Commercial teams to deliver actionable insights.
  • Produce customer and internal reports with a clear focus on business value.

What We Are Looking For

  • Strong Excel skills (pivot tables, formulas, lookups essential; advanced level required).
  • Proficiency in Power BI for visualising and interpreting data; minimum 3 years’ experience in finance, commercial, or business analysis.
  • Background in performance monitoring, business reporting, or cost control.

Eligibility

Only candidates who have the right to work in the UK and are currently based in the UK can be considered for this position.


Why Join Us

Competitive salary and benefits package. Play a key role in performance transformation at one of the UK’s busiest transport hubs. Develop your career in a high-impact, insight-driven team.


Why You'll Love Working With Us

  • You’ll join a smart, grounded team that moves fast and backs each other. No egos just results.
  • We show up because the energy’s real. Great conversations, fast decisions, and plenty of fun thanks to our Happiness Team’s regular events and drinks.
  • You’ll grow by doing, shaping what’s next, and being trusted to lead.
  • One team, 30+ countries, shared goals. Work that fits life, not the other way around.
  • And most of all, we live our values: integrity, open‑mindness, accountability, and passion. Every day.

About Us

TMS/TCR delivers leading‑edge recovery, transport, and operational services across the UK. With a strong focus on safety, compliance, and client satisfaction, we are committed to excellence in everything we do.


Equal Opportunity

TCR International is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


#J-18808-Ljbffr

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.