Insight Analyst

Recruiter
Go Direct Marketing Limited
Location
Leeds
Posted
10 Feb 2018
Closes
15 Feb 2018
Contract Type
Permanent
Hours
Full Time
Role Overview:

This is a very exciting opportunity for a numerate undergraduate to help support the development of an analytics function within a very successful and leading Leeds based Media Agency. This successful organisation has an established analytics function based in Leeds which complements the rest of the business functions. Our aim is to help current clients gain a deeper understanding of their customer’s characteristics and behaviours. We are committed to investing heavily in developing this function's analytical capabilities. Therefore you will have a unique opportunity to help shape the business in terms of developing and designing the offering and functionality. Supported by the Head of Analytics, you will predominantly learn how to design and build propensity models and customer segmentation, before translating key trends and analysis into actionable/commercial customer strategy.

The Person:

Well suited to a highly skilled undergraduate with a desire to learn about propensity modelling and customer segmentation. You will be looking to work in a fast paced, hands-on analytical role that will develop you into a well-rounded analyst with the ability to apply complex statistical techniques and deliver strategic recommendations. Your skill set will include:
• Numerate degree: Ideally Mathematics, Applied Statistics and/or Operational Research.
• Experience in using Modelling Software: Ideally you will be confident in manipulating transactional data and will be capable of using advanced statistical techniques for analysis. Ideally you will have some experience of the following techniques: including clustering, CHAID, regression
• Ability to present findings and translate customer data sets into compelling and actionable strategic recommendations for non-technical audiences
• Interest in Retail and Home Shopping (Experience in this sector would be an advantage but not essential)
This is a great opportunity for a highly skilled numerate undergraduate to work on challenging and diverse customer data sets in an environment committed to championing the use of data. You will play a key role in the continued growth of this successful business

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