Digital at Primark
As a Digital Analytics Manager at Primark, you’ll play a key role in helping shape how we use data to improve customer experience and drive commercial performance across our 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. You will deliver against the analytics strategy, translating direction into high‑quality execution and team output. You will lead a team of analysts, further developing the operating model, culture and skills to move beyond reporting into actionable insight, clear recommendations and measurable impact. You will work closely with the Analytics & Experimentation Lead to align on priorities and strategic direction.
What You’ll Do As a Digital Analytics Manager
Team Leadership & Performance
- Lead and develop a high‑performing team, fostering end‑to‑end ownership, pace and accountability, and driving continuous improvement by evolving from reporting into proactive, insight‑led delivery
Insight, Trading & Commercial Impact
- Lead weekly trading analysis to understand performance drivers, translate data into clear insights with next steps, deliver actionable recommendations across trading, product, experimentation and UX, drive Click & Collect optimisation by improving adoption and customer journeys, and collaborate to build datasets, analytics and skills that evolve the customer analytics mindset and enhance experiences for our most valuable customers
Product Integration & Delivery
- Build and maintain processes that embed analysts effectively within product squads, define clear measurement frameworks and tracking requirements, enable high‑quality delivery through prioritisation and coaching, collaborate with Product, UX and Engineering to improve ways of working and remove blockers, and build strong cross‑team relationships to position analytics as a value‑driving partner
Data, Automation & Scalability
- Guide the team in working with large, complex datasets to uncover meaningful insights, drive automation of recurring reporting, ensure data is accessible and reliable for fast decision‑making, support scalable analytics across international markets, own and improve data layer and tracking implementations with hands‑on troubleshooting, and build strong relationships with digital analytics partners to ensure high‑quality delivery and effective tool usage aligned to business priorities
Experimentation, Segmentation & Optimisation
- Lead the analytics contribution to the experimentation programme, supporting prioritisation and delivery of high‑impact tests aligned to commercial outcomes
- Leverage customer segmentation and behavioural insights to identify opportunities for personalisation and optimisation in both web and app
What You’ll Get
People are at the heart of what we do here, so we provide you with a supportive environment to perform at your best. Healthcare, pension and potential bonus, 27 days leave plus bank holidays, flexibility to buy 5 more days, Tax Saver Tickets, fitness centre and a subsidised cafeteria.
What You’ll Bring
- Proven experience leading and growing an analytics team in a fast‑paced, eCommerce or product‑led environment; experience working within product‑led ways of working with analysts embedded in squads; track record of delivering commercial impact through data
- Experience analysing customer behaviour and value over time, including cohort analysis, retention and customer lifetime value, to inform commercial and product decisions
- Experience defining and implementing tracking requirements, evaluating data layer structures, working with tagging frameworks and ensuring data is accurate, reliable and fit for decision‑making; strong experience with Google Tag Manager, evaluating and improving data layer implementations, troubleshooting tracking issues, and ensuring data is robust
- Experience supporting A/B testing, translating insights into test hypotheses and ensuring data quality to enable reliable experimentation; experience with digital analytics and UX tools (Contentsquare, Decibel, Quantum Metric); experience with data visualisation tools (Tableau)
- Strong technical experience, including GA4 and/or Firebase, SQL for large‑scale data environments, BigQuery, Teradata, Databricks; optional experience with customer segmentation and personalisation frameworks, Python or similar tools for advanced analysis or experimentation, and working in multi‑market / international environments
- Personal attributes: highly proactive with a strong sense of ownership and accountability, commercially minded, thrives in a fast‑paced evolving environment while bringing structure and clarity, hands‑on and delivery‑focused, prioritising high standards; strong leadership capability with experience coaching, developing and supporting others to achieve high performance
Primark promotes equal employment opportunity and strives to create an inclusive workplace where people can be themselves, access opportunities and thrive together.
#J-18808-Ljbffr…