Customer Analyst

Job Description
Customer Analyst
UK Retailer
** Unfortunately my client CANNOT offer sponsorship for this role **
Up to £48k plus 15% bonus & benefits inc discounts
Once a week - Central London
THE ROLE
We’re hiring for a consultative Insight Analyst to join an existing team of 6, which sits in a wider Marketing and Insights team of 60. You will be responsible for delivering bespoke segments and customer insights to end suppliers, for this national retailer.
You have responsibility for all the analytics using both loyalty and non-loyalty data to enable improved customer engagement and understanding. You will also have support from a Lead Analyst, and will manage the whole analytics pipeline from customer insights, CRM analytics and even modelling if you have the skills or are inclined to learn.
They have support for all the BAU campaign reporting from an offshore team run by Accenture, so you can focus on the more bespoke analytics projects.
THE WIDER BUSINESS
Working amongst one of the largest data functions in retail, you’ll have the opportunity to diversify, grow and develop both your technical and softer skills, leveraging their development framework, built to harmonize all their technical and soft skills training into one accessible programme for all – part of their ongoing commitment to employee training and development.
This gives individuals even more opportunities to grow in different directions and realise ambitions they might not have had the chance to do so before.
Skills and experience required:
Educated to degree level or higher in a numerate subject; Mathematics, Statistics, Economics, Operational Research, Physics, Chemistry, Engineering or Computer Science).
An advanced user of SQL with the ability to code from scratch.
Exposure to data visualisation tools and building out engaging dashboards using PowerBI, Qlik, Looker, Tableau or similar
Experienced in mining large and complex customer data sets – both structured and unstructured.
Experience of employing both simple and complex analytical techniques (e.g. forecasting, regression, clustering etc) to solve business problems and answer business questions.
A background in customer or marketing analytics is essential, ideally specifically CRM or loyalty.
Experience within a retail environment is highly desirable.