Technology underpins many of the most influential organisations in the world. It enables the biggest business decisions and connects people around the globe. Data is the common thread that connects technology and business people together, and Analytics is the method by which data is transformed into insights that help businesses take action and generate enhanced value. Our Analytics teams use advanced data analysis technologies and techniques to help our clients answer business questions and address commercial issues. We combine data analytics, modelling, business intelligence, advanced analytics and data science skills to help our clients.

Our 3 year Analytics graduate programme is designed to offer the client exposure and support you need to secure a successful career in analytics. You will develop technical skills, commercial acumen, core consulting skills and a flair for business. As a graduate, you’ll follow a structured programme working with a range of clients and technologies. Highly diverse, this work will span the delivery lifecycle, from initially shaping a project through its design to technical delivery. During the programme, you’ll also benefit from a number of training modules designed to hone your productivity and technical skills.

People who excel within the Analytics graduate programme are passionate about continually adapting their skills and knowledge to find solutions that meet our clients' needs. They are intellectualy curious and interested in telling stories with data. Whilst you don't necessarily need to be a technical guru, we do look for a keen interest in technology and business issues, as well as good communication skills and the desire to take on early responsibility - most importantly, you'll have an appetite to learn how Analytics can best support our clients. 

We’ll provide plenty of support and a blend of development opportunities to help you achieve your potential – including client work and the chance to gain technical qualifications.

Programme summary

Programme overview

Capability: Technology & Engineering

Programme length: 3 years

Qualifications: Technology specific accreditations

Entry requirements

As a general rule, you’ll be expected to meet the following requirements (*or equivalents)

  • Minimum Grade B GCSE* Maths
  • Minimum Grade B GCSE* English Language
  • Minimum of 300 UCAS* tariff points
  • Minimum 2:1 degree in any discipline

Please note, we only consider a candidate's 'top' 3 A-Level grades and do not accept General Studies.

At KPMG, we look at more than just your academic results. We will review your application, together with your performance in our assessments, to ensure that you have the best opportunity to demonstrate your potential. We will be considering your strengths and achievements alongside a number of other metrics, including technical background and/or experience, to ensure that you have the skills to succeed at KPMG.

Key skills

Throughout the recruitment process we will be looking to learn more about your strengths.

To be successful on this programme, you will be required to demonstrate the strengths that we look for in our graduates at KPMG.

Learn more about what we look for and how to apply here.

Training and development

As one of the fastest growing areas of KPMG, Analytics is a great place to develop your modelling skills, business understanding, consultancy skills and career. The breadth of our work, expertise and clients means there’s always the chance to learn new things. We’ll also provide a supportive network for you to maximise every opportunity that comes your way.

We provide many opportunities for personal learning, development and career progression, where colleagues at all levels have access to formal and informal training courses and for merit based progression. As you continue to develop and build on your experiences, you will be able to take on more responsibilities, to help shape and grow our teams into the future. You will be encouraged to take an active role in your own development and to help innovate new solutions and areas of work.

You may also have the opportunity to study for an industry accredited qualification focusing on key technology specialisms that will help you through your graduate programme and into your future career.

Case study

Ayomikun
Technology & Engineering graduate programme | London

Ayomikun

I felt that KPMG would be a good match for my ambitions and of course, it’s a Big Four company. So it was a no-brainer for me during the application process. KPMG was where I really wanted to be. 

Now I’m here, I enjoy the access to global clients. I like the culture here too. You get to work with ambitious people who want to be part of the next generation of ideas and strategies. 

I’m part of the Financial Services Modelling team. When I first joined, the focus was on training. It was incredibly thorough. We had financial modelling workshops run by some of our analysts, for example. We learnt VBA and Python – coding languages that are invaluable in our field. And data visualisation, which is obviously really big right now. It enables us to extract data and make it visually presentable for a client.

Read Ayomikun's story

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