×

Looking for a graduate job?

Create your free profile to get personalised jobs and advice
 
By signing up you agree to our terms & conditions

Become a Data Transformation Consultant

You will be the person that bridges the gap between the business, data, and technology teams, dealing with multiple people, from multiple backgrounds in multiple fields of expertise. You get organisations to understand what is possible and then you become the key person to deliver it.

  

Location: London

What you will be doing

This is a pioneering role which is undertaking data analytical outputs coupled with business analyst responsibilities. Fundamentally, you will be understanding and gathering business requirements and showing stakeholders the art of the possible in data. As this role is in such demand with very few qualified people to fill this need, you will be highly sought after for the foreseeable future.

We offer 14-16 weeks of industry specific training in our London Centre alongside a competitive salary followed by various consulting assignments with some of the best businesses in the world. As a Kubrick Data Transformation Consultant you will be taught how to assist clients in a variety of situations and develop a broad data skill set that will allow you to succeed in any organisation.

What you will have

We would like to hear from you if:

  • You have a desire to work with multiple stakeholders and facilitate effective communication between them
  • You have a love for problem solving, making sense of something complex and communicating it to others in a way that is easy to understand
  • You have an ambition to work with data and don't let it intimidate you - learning some coding is crucial in today's age
  • You have the ability to think logically and work under pressure
  • You are geographically flexible throughout the UK
  • You are educated to degree level with strong A level grades

Company benefits: £32,000 - £40,000 salary • Industry specific training • Work with top clients • Unrivalled career progression

Onwards to our company and culture…

We are Kubrick Group

We founded Kubrick to offer organisations another way to solve their data challenges. We do this by employing the best junior professionals and preparing them in our data labs to become the next generation of data specialists.

  

We are Kubrick Group

05:05

In only two years we’ve gained over 60 clients and 150 employees and aren’t looking to stop.

We knew from day one at Kubrick, the way in which we developed our people had to set us apart. So, we invested in developing the best training in the industry, devised by industry experts, that is only available to members of our team. Our unique development programme initially in our data labs followed by working on client projects, enables you to accelerate into a lucrative career as a Data Engineer, Data Analyst or Data Governance Analyst.

Gender Ratio   

  

Kubrick Group strongly believe that the data industry should embrace diversity in its teams. There is a current under-representation of women starting careers in data, therefore, Kubrick actively seek to get as many women on board with starting their careers in this field. Data Inclusive is an initiative established by data professionals at Kubrick Group, supporting diversity in companies, especially in data teams.

Educational background and Consultant’s experience: 

The backgrounds of our consultants vary greatly. We have consultants working on client projects with years of experience in and out of the data industry with different levels of educational backgrounds. We often look for those that have studied STEM subjects as these skills are easily transferable in our training process, but are also open to non-STEM backgrounds if they have completed Maths at A-levels.

  

  

As well as strong educational background, the key thing we look for in in a consultant is great people skills. We also welcome those with masters degrees, under graduates and those with working experience to apply and become a consultant at Kubrick Group. 

Like what you see?