Consultant Data Analyst

Movar Limited
Birmingham
2 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Business Data Analyst

Business Data Analyst

AI Data Analyst

SAS Data Engineer

Procurement Data Analyst (Contracts)

  • Job Sector: TransportInfrastructureDefenceEnergyCross Sector

At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we’ve been helping companies of all sizes improve the way projects are delivered.

Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals—all seeking to improve the way projects are delivered.

Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery.

We’re proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024.

Why Join Movar?

Movar is in an exciting period of growth, and there’s never been a better time to be part of our journey. We’re building something special—scaling our business while staying true to our people-first approach.

At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we’re keen to build a team that is as ambitious as we are.

Our IDEAL Values:
  • Integrity – We do the right thing, always.
  • Drive – We push boundaries and strive for excellence.
  • Empathy – We care deeply about our people and clients.
  • Adaptability – We embrace change and thrive in it.
  • Loyalty – We stand by each other and our mission.
Job SummaryAbout the Role

Movar is seeking a Data Analyst with growing expertise in business intelligence and data visualisation. You will work across major infrastructure projects in rail, water, nuclear, and defence, transforming data into insights that inform strategic decisions. Working within our Data & AI team, you will develop increasingly sophisticated analytical solutions whilst building strong client relationships and contributing to project success.

Core Responsibilities
  • Design and maintain Power BI dashboards and visualisations for client projects.
  • Extract, clean, and model data using Azure Data Factory, SQL Server, and related tools.
  • Collaborate with colleagues to define KPIs, build reports, and enhance data quality.
  • Support the delivery of analytical insights that drive business decisions.
  • Engage with clients to understand requirements and present findings clearly.
  • Contribute to the development of team standards and best practices.
Technical StackCore
  • Advanced Excel
  • Python (Pandas, NumPy)
  • Azure Logic Apps
What You'll Bring
  • Professional experience in data analytics or business intelligence.
  • Solid proficiency in Power BI, SQL, and data modelling.
  • Good communication skills and ability to work effectively with clients and colleagues.
  • Growing confidence in translating business questions into analytical solutions.
  • Familiarity with Microsoft's data ecosystem and willingness to learn Azure technologies.
  • A mindset that reflects Movar's IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty.
Office Address

Unit 3 Knot House, 6 Brewery Square, London SE1 2LF

Movar Group Limited is registered in England and Wales number: 08603258 VAT No: GB 168982251


#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.