Customer Insight Manager

Datatech Analytics
June 5, 2024
West Midlands, United Kingdom
Job Type
Job Ref
Up to £55000 DoE, benefits and bonus



An exciting opportunity for this medium sized retail financial services organisation to join their Analytics Team and provide insight that delivers commercial value. The Customer Insight Manager will use analytical methods to understand, test and predict customer and marketing profitability.

Role responsibilities:-
• Manage data and analytics capabilities to drive full end to end customer journey insight, to deliver commercial success
• Define analytics roadmaps to support company goals and objectives
• Manage and engage with key 3rd party relationships
• Provide analytical insight around customers including profiling, acquisition, marketing, segmentation and behaviours.
• Support various teams to optimise sales and marketing channels by providing analysis, insight and recommendations
• Provide test and learn performance results using A/B & MVT

Skills and experience: -
• Financial Services, Banking or retailer customer insight experience (regulated environment)
• Expert knowledge of SQL and SAS or Python as a programming tool
• Statistical and behavioural analysis including test and learn, optimisation and analytical models ie scorecards, propensity, CHAID, forecasting (CRM, Customer knowledge, e-CRM)
• Strong presentation and stakeholder influencing skills through story telling

Candidates must have an existing right to live and work in the UK. If this sounds like the role for you then please apply today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website:

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