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Member Insight Analyst

JR United Kingdom

City Of London

On-site

GBP 40,000 - 60,000

Full time

3 days ago
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Job summary

A leading company in the luxury hospitality sector seeks a skilled Member Insight Analyst to enhance data-driven decision-making and improve customer engagement across their prestigious clubs. The role involves deep analysis of member behavior and requires expertise in SQL and predictive analytics. Join a vibrant team where you can make a substantial impact in a dynamic environment.

Qualifications

  • 4+ years of experience in CRM, customer insights, or marketing analytics role.
  • Experience with customer segmentation, predictive modelling, and campaign analytics.
  • Familiarity with working large datasets and integrating multiple data sources.

Responsibilities

  • Conduct deep-dive analyses into member behavior, preferences, and engagement.
  • Build and maintain robust segmentation models for personalized experiences.
  • Deliver actionable insights to support CRM campaigns and retention efforts.

Skills

SQL
Data analysis
Communication
Predictive modeling
Storytelling

Tools

Salesforce
Salesforce Marketing Cloud

Job description

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Member Insight Analyst, london (city of london)

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Client:

The Birley Clubs

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

An exciting opportunity has arisen for a highly analytical and strategic Member Insight Analyst to join our team at The Birley Clubs based in Mayfair, London.

The Birley Clubs operate some of the world’s most iconic private members’ clubs; Annabel’s, Mark’s Club, George, Harry’s Bar and Bath & Racquets Club. The Birley Clubs have created a paradise of sophistication, unparalleled quality, and service in the heart of Mayfair.

As Member Insight Analyst you will play an instrumental role in driving data-led decision-making across the member journey. From acquisition and onboarding to retention and loyalty using advanced analytics to power segmentation, targeting, and lifecycle optimisation. As Member Insight Analyst, you will be delivering business benefit and improving our member experience, reporting to the Head of CRM & Member Engagement

Key Responsibilities:

  • Conduct deep-dive analyses into member behaviour, preferences, and engagement across digital and physical touchpoints.
  • Build and maintain robust segmentation models to support targeted communications and personalised experiences.
  • Develop predictive models to identify at-risk members, forecast churn, and highlight re-engagement opportunities.
  • Deliver actionable insights to support CRM campaigns, member lifecycle strategy, event targeting, and retention efforts.
  • Partner closely with Marketing, Membership, Events, and Digital teams to translate insights into strategies and campaigns.
  • Work with internal and external data sources to create a holistic view of members.
  • Build dashboards and reporting frameworks to track CRM KPIs and campaign effectiveness.
  • Champion data quality, governance, and CRM best practices across the business.

Please note: Responsibilities are not restricted to the above and may evolve based on business needs.

Skills & Experience:

  • 4+ years of experience in a CRM, customer insights, or marketing analytics role
  • Strong SQL skills (mandatory); experience with Python a plus
  • Experience with customer segmentation, predictive modelling, and campaign analytics
  • Familiarity with Salesforce and Salesforce Marketing Cloud
  • Experience working with large datasets and integrating multiple data sources
  • Strong storytelling and communication skills – ability to present complex insights clearly to non-technical audiences
  • Experience in hospitality, luxury, membership-based, or lifestyle sectors preferred

This role is based in our office and requires your presence Monday through Friday. If you want to be part of the most exciting private members’ clubs in London, we would love to hear from you!

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