Number of Applicants
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The Company
A well-established digital platform with over a million active users across the UK, offering technology-led subscription services in a fast-scaling consumer market. Known for its innovation in healthcare and eCommerce, the business has seen rapid growth in recent years and is continuing to expand its analytics capabilities. The Customer Insight Analyst will play a key role in shaping customer and marketing strategies by translating behavioural data into commercial insight.
The Role
This is a hands-on role focusing on customer analytics, segmentation, and marketing performance. You'll be responsible for building dashboards, analysing behavioural trends, and guiding strategic decisions across acquisition, retention, and customer lifetime value. The role suits an analyst who's confident with SQL, data visualisation tools like Tableau, and who can bridge the gap between data and non-technical stakeholders.
Key Responsibilities
Deliver insight to support acquisition, retention, and growth strategies
Build and maintain a scalable Single Customer View (SCV) combining CRM, transaction, and engagement data
Develop segmentation models based on lifecycle stage, engagement, and behaviour
Analyse campaign performance and customer trends to optimise marketing strategy
Create dashboards and reports in Tableau to communicate insights clearly to stakeholders
Work closely with marketing, commercial, and data teams to drive cross-functional action
Ensure high standards of data quality, governance, and compliance
Stay updated on trends in customer analytics, eCommerce, and digital health
Skills & Experience
Essential:
Strong SQL skills for data extraction and manipulation
Experience using Tableau or a similar data visualisation tool
Proven track record in customer analytics or marketing insight roles
Ability to communicate insights clearly to non-technical stakeholders
Experience with campaign analysis, customer segmentation, and lifetime value modelling
Commercial mindset with a focus on growth and retention
Desirable:
Experience with GA4, BigQuery, or other advanced analytics tools
Familiarity with churn, retention, or cross-sell modelling
Background in healthcare, eCommerce, or subscription-based businesses
Exposure to scripting languages such as Python
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