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CRM Data Analyst
JR United Kingdom
Slough
Hybride
GBP 35 000 - 50 000
Plein temps
Il y a 30+ jours

Résumé du poste

A global premium lifestyle brand is seeking a CRM Data Analyst to join its Customer Experience team in Slough. The successful candidate will be responsible for analyzing and presenting customer data to influence decision-making and drive effective campaigns. Strong SQL skills and experience with visualization tools like Tableau are essential. This role offers a hybrid working model with a focus on improving customer engagement and acquisition strategies.

Prestations

Hybrid working model
Strong work-life balance
Collaborative team environment

Qualifications

  • Strong SQL skills and experience in creating tables and pipelines.
  • Experience with data visualisation tools like Tableau.
  • Ability to communicate data insights effectively.

Responsabilités

  • Support the CRM team with analysis and campaign performance insights.
  • Design customer segments and optimise targeting strategies.
  • Create dashboards to communicate performance to stakeholders.

Connaissances

Strong SQL skills
Experience with visualisation tools
Understanding of CRM performance metrics
Excellent communication skills
Experience in retail or CRM environments

Outils

Tableau
DataIQ
Python
Description du poste

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Please note, this company is unable to offer sponsorship, and you must be a UK resident to apply

THE COMPANY

This global premium lifestyle brand is renowned for its iconic fashion, homeware, and fragrance collections. With a long-standing reputation for timeless style and quality craftsmanship, the business continues to innovate across retail, e-commerce, and digital engagement. Data sits at the heart of its customer strategy, and the CRM team plays a pivotal role in driving customer acquisition, retention, and engagement.

THE ROLE

As a CRM Data Analyst, you’ll join the Customer Experience (CX) team and support the CRM and analytics function. You’ll be responsible for pulling, analysing, and presenting customer data to influence decision-making and drive more effective campaigns. With a focus on storytelling through data, you’ll help shape the CRM strategy, improve customer segmentation, and support the growth of acquisition and engagement initiatives.

Your responsibilities will include:

  • Supporting the CRM team with analysis, reporting, and campaign performance insights.
  • Designing customer segments and helping optimise targeting strategies.
  • Pulling, cleaning, and interpreting customer data to create actionable insights.
  • Building and maintaining data pipelines to support CRM campaigns.
  • Creating dashboards and visualisations to communicate performance to stakeholders.
  • Partnering with data, CRM, and wider CX teams to deliver scalable, data-led solutions.

REQUIREMENTS

Must-Have:

  • Strong SQL skills, with experience in creating tables, joins, and pipelines.
  • Experience working with visualisation tools (Tableau, DataIQ, or similar).
  • Commercial understanding of CRM performance metrics.
  • Excellent communication skills with the ability to tell a story through data.
  • Experience working in retail or CRM-heavy environments.

Nice-to-Have:

  • Python for data manipulation and analysis.
  • Experience with ESP platforms (e.g., Zeta or similar).
  • Knowledge of data architecture and infrastructure in CRM contexts.

WHY WORK HERE?

  • Join a globally recognised brand with a rich heritage and modern customer-first vision.
  • Play a key role in shaping CRM strategy and driving data-led marketing.
  • Hybrid working model with strong work-life balance.
  • Be part of a skilled, collaborative CX and data team where your insights have direct impact.
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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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