CRM & Data Strategy Analyst
Harnham
London, UK
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Data Analysis
Databases
Customer Data Management
Data Visualization
Python (Programming Language)
Power BI
Tableau (Software)
Data Strategy
Data Pipelines
Job description
Overview
A leading name in the luxury retail space is growing its Customer Experience team and investing in data-driven decision-making. This role sits within a collaborative CRM and data strategy function, driving customer acquisition, retention, and engagement through analytics and segmentation.
Responsibilities
- Analysing and presenting customer data to inform CRM strategy and campaign optimisation.
- Building and maintaining customer segmentation for targeted campaigns.
- Owning reporting across CRM activity, including campaign performance and database health.
- Supporting data pipelines and automation to streamline CRM processes.
- Collaborating with senior stakeholders to influence customer engagement strategy.
Qualifications
- Hands-on experience in CRM analytics and campaign reporting.
- Experience in retail, e-commerce, or CRM-focused environments.
- Comfortable presenting insights to both technical and non-technical audiences.
- Python experience is a nice-to-have.
- Experience with ESPs such as SFMC, Zeta or Braze would be advantageous.
- Visualization tools (e.g., Tableau, Power BI or Data Studio).
Why Apply?
- Join a highly respected luxury retail brand with a growing data function.
- High-impact role with exposure to senior stakeholders and strategic decision-making.
- Work at the centre of CRM, data strategy, and customer engagement.
Details
- Seniority level: Associate
- Employment type: Full-time
- Job function: Analyst
- Industries: Retail
Requirements
- Hands-on experience in CRM analytics and campaign reporting.
- Experience in retail, e-commerce, or CRM-focused environments.
- Comfortable presenting insights to both technical and non-technical audiences.
- Python experience is a nice-to-have.
- Experience with ESPs such as SFMC, Zeta or Braze would be advantageous.
- Visualization tools (e.g., Tableau, Power BI or Data Studio).
Apply for this position
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