Analyst

AkzoNobel
Gateshead
1 year ago
Applications closed

Related Jobs

View all jobs

Analyst, Data Science

Data Analyst / Junior Data Scientist

Data Analyst/Junior Data Scientist

Data Scientist

Data Analyst/Data Scientist M/F/D

Data Analyst/Data Scientist M/F/D

About AkzoNobel

Since , we’ve been supplying the innovative paints and coatings that help to color people’s lives and protect what matters most. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. We’re active in more than countries and use our expertise to sustain and enhance the fabric of everyday life. Because we believe every surface is an opportunity. It’s what you’d expect from a pioneering and long-established paints company that’s dedicated to providing sustainable solutions and preserving the best of what we have today – while creating an even better tomorrow. Let’s paint the future together.

© Akzo Nobel N.V. All rights reserved.

Vessel Performance Analyst 
Felling, Tyne & Wear NE10 0JY
£competitive salary plus benefits

We encourage you to apply if you have relevant experience and expertise for this role, even if you don’t meet all the criteria listed in the job description.

We’ve been pioneering a world of possibilities to bring surfaces to life for well over years. As experts in making coatings, there’s a good chance you’re only ever a few meters away from one of our products. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. We’re active in more than countries and have set our sights on becoming the global industry leader. It’s what you’d expect from the most sustainable paints company, which has been inventing the future for more than two centuries.

Job Purpose 
As a key member of the vessel performance team in our Marine Coatings business, you will support the implementation and commercialisation of our vessel performance management product & service solutions.

Job Responsibilities 
• Interrogating complex performance datasets to create internal and external stakeholder reports.
• Support sales & marketing colleagues with customer facing activities.
• Ensuring sales tooling is maintained/updated as required. 
• Working closely with R&D colleagues, generating insights to improve commercial offer & product/solution pipeline.


Job Requirements 
• Degree (or equivalent qualification), ideally BSc, in Maths / Statistics, Data Science, Marine & Offshore Engineering or Naval Architecture 
• Experience in the chemical/coatings industry is desirable 
• Analytical mind with strong numerical acumen with knowledge/understanding of analysing complex datasets.
• Experience with statistical tools and programing language such as Python / R / Matlab / PowerBI would be preferred. 
• Excellent communication & interpersonal skills.


What Makes You Stand Out
• Excellent communication & interpersonal skills.
• Committed to a collaborative working environment where supporting colleagues is key.
• Knowledge of data mining, machine learning or predictive analytics
• Marine industry experience.

What do we Offer at AkzoNobel 
We offer great personal development opportunities and roles with breadth, depth of scope and impact. We also offer comprehensive packages including:
• Competitive Salary (depending on experience).
• 25 days holiday excluding bank holidays.
• Income protection.
• Staff discount at Dulux Decorator Centre stores.
• Employee Assistance Programme.
• Employee Life Assurance.
• Company pension.
• product discounts.
• Flexible benefits scheme offering benefits including Gymflex, retail card, dental cover and more!

We have been inventing the future for more than two centuries and need people like you to be part of the team. Apply online via the link and we will get right back to you.

We are advocates of a healthy work life balance and mental wellbeing. We are happy to look at flexible working options for all our roles. 

At AkzoNobel we are highly committed to ensuring an inclusive and respectful workplace where all employees can be their best self. We strive to embrace diversity in a context of tolerance. Our talent acquisition process plays an integral part in this journey, as setting the foundations for a diverse environment. For this reason we train and educate on the implications of our Unconscious Bias in order for our TA and hiring managers to be mindful of them and take corrective actions when applicable. In our organization, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability.

Requisition ID:

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 AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.