Digital Analytics Manager
Listed on 2026-05-31
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Location: Reading – Hybrid 1‑2 days a week in office.
Consultant: Mags Rendle
The CompanyMove your career forward within this high‑profile brand. DRC is working with a highly successful retail business expanding its digital and tech teams. You will be part of this inspiring and talented new team in a brand‑new role.
The RoleAs a Digital Analytics Manager, you’ll help shape how data is used to improve customer experience and drive commercial performance across digital channels. Reporting to the Digital Analytics and Experimentation Lead, you will work across Digital and Digitech, providing insight to support the digital roadmap and strategy. Your responsibilities include delivering against the analytics strategy, translating direction into high‑quality execution, and leading a team of analysts to provide actionable insight, clear recommendations, and measurable impact.
WhatYou’ll Do as a Digital Analytics Manager
Collaborate across teams to deliver high‑impact analytics. Typical day‑to‑day responsibilities include:
- Lead and develop a high‑performing team, fostering ownership, pace, and accountability, and driving continuous improvement beyond reporting into proactive insight delivery.
- Lead weekly trading analysis to identify performance drivers; translate data into clear insights and actionable recommendations across trading, product, experimentation, and UX.
- Build and maintain processes that embed analysts within product squads, define measurement frameworks, and coordinate with Product, UX, and Engineering to remove blockers.
- Guide the team in working with large, complex datasets; drive automation of reporting, ensure data quality, support scalable analytics across international markets, and manage the data layer and tracking implementations.
- Lead analytics contribution to the experimentation programme, supporting prioritisation and delivery of high‑impact tests.
- Leverage customer segmentation and behavioural insights to identify opportunities for personalisation and optimisation across web.
- Healthcare, pension, potential bonus, 27 days leave plus bank holidays, and the option to buy 5 more days.
- Tax Saver tickets, fitness centre access, and subsidised cafeteria.
- Hybrid work model with 1–2 days in office each week.
- Proven experience leading and growing an analytics team in a fast‑paced eCommerce or product‑led environment.
- Experience analysing customer behaviour over time (cohort analysis, retention, customer lifetime value).
- Experience defining and implementing tracking requirements, evaluating data layer structures, using tagging frameworks such as Google Tag Manager, and ensuring data integrity.
- Experience supporting A/B testing, translating insights into test hypotheses, and ensuring data quality for reliable experimentation.
- Technical proficiency with GA4 and/or Firebase, SQL, large‑scale data platforms (Big Query, Teradata, Databricks); desirable skills include customer segmentation, personalisation frameworks, Python, and multi‑market experience.
- Personal attributes: proactive, ownership, accountability, focus on measurable outcomes, commercially minded, structure, delivery‑focused, strong leadership with coaching.
- Hybrid working.
- Bonus structure and strong package.
- Excellent career potential.
- First‑class training and development.
- Supportive and caring environment.
- Attractive, successful, global organisation.
To discuss the opportunity further, please contact Mags Rendle.
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