Loyalty Analytics Lead

Collinson Group

Greater London

On-site

GBP 55,000 - 75,000

Full time

4 days ago
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Job summary

Collinson Group is seeking a standalone Data Analyst in London to own end-to-end analysis for loyalty programmes. You will turn customer data into actionable insights, reporting to leadership and driving commercial impact within Collinson's loyalty division.

You'll build segmentation, measure campaign outcomes, and forecast revenue, supporting A/B testing and multi-channel analytics. Excellent SQL, Excel, and BI tools are essential, with CRM/loyalty experience strongly preferred.

Qualifications

  • 4+ years as a data analyst working with complex, multi-channel customer data.
  • Strong SQL for querying and extracting data.
  • Advanced Excel - pivot tables, formulae, large datasets.
  • BI tools: Power BI or Tableau.
  • CRM, loyalty or lifecycle marketing analytics experience.
  • Ability to explain complex findings in plain business language.

Responsibilities

  • Own the analysis behind loyalty programmes and turn data into decisions leadership can act on.
  • Build and maintain the reports the business runs on, and ensure they are relied upon.
  • Analyse customer behaviour, retention, purchase frequency and lifetime value.
  • Build propensity, churn, cross-sell/upsell and customer lifetime value models.
  • Forecast revenue and campaign performance; translate indicators into commercial actions.
  • Specify, extract, clean and validate datasets from multiple systems.

Skills

4+ years data analysis
SQL
Advanced Excel
Power BI
Tableau
CRM analytics
Communication of findings

Tools

Power BI
Tableau

Job description

Collinson Group is seeking a standalone Data Analyst in London to own end-to-end analysis for loyalty programmes. You will turn customer data into actionable insights, reporting to leadership and driving commercial impact within Collinson's loyalty division.

You'll build segmentation, measure campaign outcomes, and forecast revenue, supporting A/B testing and multi-channel analytics. Excellent SQL, Excel, and BI tools are essential, with CRM/loyalty experience strongly preferred.

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