Customer Analytics & CRM Insights Specialist

Harnham

Southampton

On-site

GBP 43,000 - 58,000

Full time

14 days+
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Benefits offered by this job

Bonus

Job summary

Harnham in Southampton is seeking a data analytics professional to shape customer, CRM and retail media strategy through analytics. You will analyze customer, CRM, loyalty and retail media data to uncover actionable insights and measure campaign performance with uplift analysis and ROI evaluation.

You'll build audiences for marketing activation, apply statistical techniques to support recommendations, and present findings to diverse stakeholders.

Qualifications

  • Strong SQL and data visualisation experience.
  • Experience working with customer and CRM data at scale.
  • Commercial experience in marketing campaign measurement and analytics.
  • Understanding of statistical testing, confidence intervals and significance measures.
  • Exposure to cloud-based data environments such as Databricks.
  • Ability to communicate insights to a range of stakeholders.

Responsibilities

  • Analyse customer, CRM, loyalty and retail media data to uncover actionable insights.
  • Measure campaign performance using uplift analysis, incrementality testing and ROI evaluation.
  • Build and assess customer audiences and segments for marketing activation.
  • Apply statistical techniques to support recommendations and business decisions.
  • Present findings clearly to both technical and non-technical stakeholders.
  • Support the development of customer health and engagement metrics.

Skills

SQL
Data visualization
CRM data
Campaign measurement
Statistics
Communication
Stakeholder management

Tools

Databricks

Job description

Harnham in Southampton is seeking a data analytics professional to shape customer, CRM and retail media strategy through analytics. You will analyze customer, CRM, loyalty and retail media data to uncover actionable insights and measure campaign performance with uplift analysis and ROI evaluation.

You'll build audiences for marketing activation, apply statistical techniques to support recommendations, and present findings to diverse stakeholders.

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