Data Analyst Industrial Placement

About AkzoNobel

Since 1792, 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 150 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.

For more information please visit www.akzonobel.com

2024 Akzo Nobel N.V. All rights reserved.

Data Analyst Industrial Placement

1 Year placement starting July 2025

£22,000 per annum plus relocation allowance*

Felling, Gateshead, Tyne & Wear (remote working not considered)

Data Analyst Industrial Placement – Introduction

Operating in over 150 countries, AkzoNobel is home to well-known brands and has been awarded Top Employer status in the UK and Europe. We believe we can only grow our business as fast as we grow our people. That’s why we’re committed to investing in your time with us.

We currently have an Industrial Placement opportunity available within the Data and Digital R&D team to start in the summer of 2025. The position is predominantly office based but with the potential to experience laboratory and field data collection. Candidates must be highly enthusiastic about working on a multitude of problems and to work with a variety of data sources across the whole end-to-end data analytics workflow. You will work under the guidance of a line manager and will be supported by a dynamic and diverse team of data scientists, chemists, biologists and industry experts, as well as guidance from external experts in the field of data science (where possible).

Data Analyst Industrial Placement – The Role

We are looking for an enthusiastic full stack data analyst who is wanting to apply their academic learning to solve real-world problems, in an applied industrial environment. The role involves:

• Working in a maturing Data and Digital R&D Team, within a large multinational organization, to support the wider community in making data-informed decisions by identifying actionable insights from their data
• Data input, extraction, cleaning, wrangling and analysis of a range of data sets including formulation, testing/performance, and environmental attributes
• Creating and deploying scheduled / automated data pipelines with well documented code
• Designing and implementing data visualisations in the form of reports and dashboards, meeting the needs of multiple stakeholders
• Following existing data project procedures for value management, version control, documentation and reporting
• Presentation and communication of project work to stakeholders
• Supporting the data maturity of the wider community through sharing best practice in data literacy
  
  

Data Analyst Industrial Placement – About You

Essential:

• Expecting a minimum 2:1 degree or equivalent* on a course that offers you the option of taking a Year in Industry.
• Data science or related discipline with demonstrable experience in data analysis (e.g. mathematics/statistics/physics etc).
• Excellent Excel skills including macro development, pivot tables and data visualization (graphs)
• Experience writing data extraction and analysis scripts in Python
• Practical experience of working with SQL databases
• Experience creating a range of dashboards in PowerBI
• Fundamental understanding of statistics
• Enjoys applying data knowledge to real-world applications
• Has ideas and the energy and determination to make action those ideas
• Excellent communication and interpersonal skills; particularly communicating technical topics to non-technical audiences
• Comfortable working in a cross-functional, multidisciplinary and collaborative working environment where supporting colleagues is key
• Willingness to learn
  
  

You should be familiar with fundamental data science concepts, but specialized training on focused content will be given during the internship. Any experience in the following would be advantageous but is not expected:

• The ability to run unit-tests on Python scripts to identify and fix bugs in automation pipelines e.g. pytest
• Experience with Databricks
• Awareness of cloud computing platforms e.g. Azure
• Knowledge / experience in packages for report generation (e.g. Quarto, Reportlab or similar)
  
  

Data Science Industrial Placement – What Is In It For You

We offer great personal development opportunities and roles with breadth, depth of scope and impact. We also offer comprehensive packages including:

• 25 days holiday excluding bank holidays
• Income protection
• Staff discount at Dulux Decorator Centre stores
• Employee Assistance Programme
• Employee Life Assurance
• Company pension
• Flexible benefits scheme offering benefits including retail card, dental cover and more!
  
  

Data Analyst Industrial Placement – How To Apply

Apply online via the link below and we will get back to you.

We have been inventing the future for more than two centuries and need people like you to be part of the team. We are advocates of a healthy work life balance and mental wellbeing. We may consider flexible working for this role.

Applications close COP Tuesday 12th November. The interview process is two stage; the first stage interviews to be held in November.

• Restrictions apply
  
  

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: 43353