Customer & Marketing Data Analyst

CV-LibraryBirminghampermanentPosted: 16 September 2026
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Customer & Marketing Data Analyst

Birmingham

Hybrid Working

Permanent

Up to £50,000 + 20% bonus

The Opportunity

We're recruiting a Customer & Marketing Data Analyst to join an established organisation and turn large volumes of customer and marketing data into actionable commercial insight.

Working closely with Digital, Marketing, customer and commercial teams, you'll use SQL and BI tools to understand customer behaviour, evaluate marketing activity and identify opportunities to improve targeting, engagement and performance.

This isn't just a reporting role. You'll investigate what's happening within the data, understand why it's happening and what the business should do next, then communicate those findings clearly to stakeholders.

What You'll Be Analysing

Your work will help answer questions such as:

How are campaigns, promotions, offers and vouchers performing?
Which customer groups are responding, and how can targeting be improved?
How is loyalty activity influencing customer behaviour and commercial performance?
What trends within transactional and behavioural data should the business act on?
Where are the opportunities to improve engagement, retention and campaign effectiveness?
Key Responsibilities

Analyse large customer and transactional datasets using SQL to identify trends, behaviours and commercial opportunities.
Measure and evaluate campaign, promotional and loyalty activity, translating findings into clear recommendations.
Support customer segmentation, targeting and audience analysis.
Build dashboards, KPI reporting and visualisations using Power BI, Tableau, Qlik or similar.
Partner with stakeholders to understand business questions and deliver meaningful analysis.
Present findings clearly, explaining what happened, why it matters and what action should be taken.
What We're Looking For

Strong hands-on SQL skills and experience analysing large datasets.
Experience analysing customer, marketing, digital or campaign data.
Strong experience with Power BI, Tableau, Qlik or similar.
Exposure to campaign analysis, promotions, loyalty, segmentation, retention or customer behaviour.
Ability to turn complex analysis into clear commercial insights and recommendations.
Confidence presenting findings to technical and non-technical stakeholders.
Good understanding of GDPR and responsible use of customer data.
Experience with Python/R, predictive analytics or machine learning would be beneficial but isn't essential.

If you are interested in this opportunity and would like to hear more, please apply with an updated CV and contact information

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