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Retention Analytics Manager

Harnham

Greater London

On-site

GBP 45,000 - 60,000

Full time

Yesterday
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Job summary

A leading female-focused fashion retailer in the UK is seeking a Retention Analytics Manager for a 12-month FTC. This role involves analyzing customer data to enhance marketing ROI and improve online revenue. You will utilize SQL and visualization tools, ideally Python, while leading a small team. If you are passionate about data-driven decision-making in retail, this opportunity is for you.

Qualifications

  • Experience in SQL and ideally Python.
  • Familiarity with data visualization tools like Power BI, Tableau, or Looker.

Responsibilities

  • Focus on customer analytics, analyzing sales volume and retention rates.
  • Manage a small team of 2 while optimizing digital platform performance.

Skills

SQL
Python
Data visualization

Tools

Power BI

Job description

3 weeks ago Be among the first 25 applicants

Direct message the job poster from Harnham

Senior Recruitment Consultant - Digital and Marketing Analytics at Harnham

RETENTION ANALYTICS MANAGER (12-MONTH FTC)

LONDON – 2 DAYS A WEEK

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

THE COMPANY

One of the UK’s leading female-focused fashion retailers has undergone a £30m digital transformation, with major strides in omnichannel strategy and customer experience. The current focus is on optimizing their digital platform, where even small speed improvements can significantly boost online revenue. Backed by strong tech infrastructure, including a cutting-edge Databricks platform, they’re aiming to lead the retail tech space in the UK.

THE ROLE

This greenfield role focuses on customer analytics, with key metrics including sales volume, opt-ins, retention rates, spend lift, and ROI from marketing campaigns. You'll use SQL and visualization tools (Power BI) and ideally Python to analyze data, while managing a small team of 2.

SKILLS + EXPERIENCE
  • Strong SQL experience and ideally Python
  • Data visualization – any tool e.g. Power BI, Tableau, Looker etc.
HOW TO APPLY

If this sounds like the role for you, please send your CV to Izzi at Harnham using the link below.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Analyst
Industries
  • Retail

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