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Senior Customer Online Analyst - R, Python, London, UK

Job Type:
Job Sector:
Job Category:
Data Analytics and Insight
45,000 to 55,000 per annum
Job Ref:

R, Python, Segmentation, Regression, Statistical modelling, Customer Insights, Data Science, Machine Learning, SQL.

Our Client who is a leading retailer based in London are looking for an Insight Analyst to join their customer analytics team.

The role:
Develop segmented customer value models using R or Python to support cost-effective acquisitions and retention, increase loyalty, and identify cross-shopping and trading opportunities.

Work with trading and growth teams to develop strategies that maximise customer value. Performing analysis at a customer or cohort level, across all online trading touchpoints.

Understanding the vast quantities of customer data available and how they build and maintain this in dedicated SQL databases.

Further enhancing the customer lifecycle and value model to help identify opportunities and solutions for the online properties to increase the value of customers shopping offline.

Supporting, guiding and mentoring analysts across the wider analytics community (Online Trading, Insight, Product)
Following our business code of conduct and always acting with integrity and due diligence.

Key Skills and Experience

You’ll need to have demonstrated experience of:

University degree of 2:1 or higher in a quantitative discipline or relevant experience
Commercial and critical thinking
Demonstrated expertise in Marketing channels, Analytics & Statistics, and Data infrastructure
Proven ability to breakdown business problems into analytical questions and to articulate the business value of solutions
Experience in communicating analytical findings in a simple way
Experienced in setting a strategic direction and running complex projects with multiple stakeholders
Customer segmentation, profiling and lifecycle analytics
Advanced SQL
Knowledge of some other key analytical tools and languages e.g. Alteryx, R, Python etc
Knowledge of visualisation tools such as Tableau
Knowledge of adobe analytics, google analytics, web tracking

Please forward your CV to

Contact Details:
Tel: 0203 301 9912
Fax: 0203 301 9901
Contact: Paul Culmer

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