Data Analyst

Nantgarw
6 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Role: Data Analyst

Location: Nantgarw, Cardiff - 3 days per week onsite

Salary: £30 per hour via umbrella

Length: 12 months with potential for extension

Role Summary/Purpose

Me client is a digital industrial business with its ability to harness large streams of data that are providing incredible insights and in turn, real operational value for customers. We are seeking a highly motivated individual to contribute to our digital future.

You will work within the Sales, Inventory & Operations Planning Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge.

Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop custom in-house tools to help us deliver our projects efficiently and effectively. We support a wide range of internal customers and every project is different and gives the opportunity to learn something new.

Responsibilities Include:

Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
Perform exploratory and targeted data analyses using descriptive statistics and other methods.
Collaborate across the business to identify and define new data & reporting requirements with the aim of delivering value adding insight and consistency across the teams.
Facilitate embedding a self-service capability for operational business users including automating as far as possible to reduce manual intervention and drive efficiency across the business.
Support analytics systems including the development and maintenance of systems, processes, and algorithms. You will contribute to the integration, enhancement, and deployment of our analytical suite to give our leadership visibility of how the business is performing to make timely, data-driven decisions.
Support with capacity modelling, maintain and develop new and existing forecasting demand models based on business insights research & analysis
Owning a project; build engagement, influence relevant stakeholders, and deliver change
Work closely with Lean and Operations teams, playing a crucial role in our journey to operational excellence
Participate and support digitisation projects
Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances.Qualifications/Requirements

Bachelors degree from an accredited university of college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science).
Highly proficient in Microsoft Office tools including Excel and PowerPoint
Proven experience with SQL
Flexible and resilient to respond constructively to new challenges
Self-starter able to operate autonomously with minimal guidance to consistently achieve high quality output
Detail-oriented, while also constantly prioritizing needs with resources available; able to support multiple projects and/or business functions at once
Excellent communication skills, interacts with multiple levels and functions with the distribution organization, and able to manage relationships
Able to thrive in a small core team and frequently interact with cross-functional teams
Strong knowledge in statistical modelling
Ability to translate complex datasets to understandable trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, PowerBI or similarDesired Requirements

Master's degree in any discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred
Proven experience working on OR problems in industrial manufacturing companies
Proven experience in simulation modelling
Familiar with machine learning concepts, methods, and tools
Understanding and working knowledge of capacity & supply chain planning
Working knowledge of programming/scripting languages (Python, R, or similar)

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.