Graduate Data Analyst (Summer Start)

University of Exeter (Graduate Business Partnership)
25000.00 GBP Annual
06 Feb 2019
27 Feb 2019
Start Date

Established in 2005, Morgan Hill delivers operational improvement to our clients by combining strategy with data analytics, AI, taxonomies and industry operating models to reveal opportunities for efficiencies and for growth.

We help our clients deploy highly successful, data supported strategies for a range of competencies including: pricing models, stocking models, investment portfolios and enterprise operating models that accurately reflect the cost of specific business competencies.

We operate in a range of industries including: Distribution, manufacturing, retail, telecoms and finance.


Number of staff: 10

Company performance:
The company has deliberately limited its engagements to working for the boards and executive teams of a handful of very well-known corporates until this year. This year it has broadened its objectives to deploy analytics and AI in support of the advisory services. It is this change of strategy that has led to the rapid growth being experienced now.

Company culture:
The culture is very much results oriented. We work at a very senior level within our clients and are commissioned because of the quality and pace of our deliveries. This is reflected in the way our staff are rewarded, ie there are few limits on what is possible.

Work-life balance:
We work around Europe and frequently travel. When the pressure is on then we are often expected to put in long hours and weekends to meet deadlines. The flip side to this is that we are very relaxed about our people taking time to do their own thing when the pressure is off. It is not a 9-5 environment.

Corporate social responsibility:
We frequently make donations to charity and currently that is the current extent of our social responsibility.

Duties and Responsibilities:
Working very closely with our consultants to understand the objectives and deliverables of the various engagements. To deliver support to their conclusions and recommendations based upon the data we have obtained.

Initial duties and responsibilities:
To become involved in one of our engagements.

Longer-term duties and responsibilities:
To work with the data science platform we use to apply machine learning techniques to data sets such that we can a) automate production of some analysis and b) create predictive models.

The platform we use is this: and we would expect some early exposure to it particularly on the data wrangling front.

We would also expect successful applicants to become closely involved with both our consulting and technical teams. The latter would include working with our software engineers to develop code in support of our engagements. This is typically, Java scripts, php, associated frameworks and databases.

Leading on a project:
In line with the company culture described above, leading on a data project with exposure to the client is likely to happen quickly but subject to competence and performance.

Training and Development opportunities:

We will deploy at least one senior consultant and one existing data analyst to work alongside any new recruit.
Accredited qualifications
We would expect formal certification on within a few months.

Level of Support:
How frequently will the intern meet their line manager? We would expect daily contact via Webex and, once an office is obtained in the Science Park then at least a weekly face to face.
Will they be allocated a mentor? Yes, a senior consultant

Other Benefits, Rewards and Recognition
Flexible working

All the above are available to the right person.

We are looking for people able to reason, be naturally inquisitive, draw conclusions supported by analysis, make assumptions to remove roadblocks and keep the pace of deliveries going.

We expect a high degree of numeracy e.g. excellent Excel skills now, together with some significant exposure, at least through course work to: machine learning, AI and data bases. However, we also need to produce persuasive and compelling reports and presentations so English and English comprehension skills are also very important. We assume basic MS Office skills are in place.

Graduates with degrees in any of the following are likely to have the background we seek: Maths, Computer Science, Data Science, Accounting & Finance. We will consider other disciplines particularly if the applicant has had some exposure to data science concepts.

Skills and Understanding:

We are not looking for any existing industry knowledge. An interest in finance or some exposure to basic accounting principles would be good.

Specific skills required now are excellent Excel, some exposure to industry BI tools like Tableau would be useful as would a basic understanding of databases. There are opportunities to write code within our data science platform so any exposure to a modern programming language and SQL would also be useful.

Behavioural Characteristics/ Personal Qualities and Attributes:

Inquisitive, persistent, willing to experiment and to try. Willingness to make but learn from mistakes and to ask questions. Very aware of the importance of deadlines.

Other Requirements:

Final Year student or Graduate of a UK university within the last 3 years

Right to work in the UK for the duration of the internship.


CLOSING DATE: 03/03/2019

INTERVIEW DATE: 15/03/2019

START DATE: 01/07/2019 (but can be flexible)

END DATE: 30/06/2020

To apply for this role please complete our internship application which can be downloaded here: Please send your completed form to us by clicking apply now.

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