Marketing Analytics Manager (Loyalty)
$40,000–$50,000 year
On-siteLondon, England, United Kingdom
Job Summary
Define and own the analytics strategy for Club, translating insights into actionable recommendations for Marketing, Product, and Customer stakeholders. Draw on segmentation frameworks and customer data to identify behavioral groups, quantify loyalty initiative value, and measure the impact of targeted interventions. Work closely with Ecommerce and Data Science to bring data-led targeting to promotional activity, evolving self-serve reporting and dashboards using Power BI and Databricks. Design and evaluate tests across Club mechanics and rewards to build an evidence base for engagement and retention. Act as the primary point of contact for loyalty analytics, influencing key decisions on promotions and customer strategy while supporting the development of analysts across the team.
Required Qualifications
- Solid experience in customer, loyalty, CRM or marketing analytics
- Confidence with SQL to interrogate large datasets and extract meaningful insight
- Solid understanding of segmentation, test design and incrementality measurement
- Experience designing and delivering clear, self-serve reporting and dashboards using modern BI tools such as Power BI
- Some exposure to cloud data platforms such as Databricks (or similar, e.g. Snowflake, BigQuery)
- An understanding of loyalty and CRM metrics; frequency, retention, lifetime value, RFM or similar segmentation approaches
- A confident, clear communicator, able to translate technical analysis into recommendations that land with non-technical stakeholders and influence decision-making
- Comfortable balancing hands-on analytical delivery with a broader, strategic view of the loyalty agenda
Desired Qualifications
- Experience within retail or another consumer-facing environment
- Track record of turning data into commercial action
- Experience with Databricks (or similar, e.g. Snowflake, BigQuery)
- An interest in retail, fashion and customer loyalty
- Genuine motivation to use data to build a more valuable, longer-term relationship with our customers
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