Digital Analytics Manager
Role details
Job location
Tech stack
Job description
In your role, you'll collaborate with different people across a range of skillsets. Here's a flavour of your day-to-day:
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Lead and grow a high-performing analytics team Drive a culture of ownership, accountability, and continuous improvement; coach analysts, set clear standards, build strong ways of working, and ensure prioritisation focuses on high-impact work while reducing low-value tasks.
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Deliver insights that drive trading and commercial decisions Lead weekly trading analysis focused on performance drivers; translate data into what's happening, why, and what to do next; influence trading, product, UX, and experimentation; optimise Click & Collect and advance customer analytics to support marketing and digital teams.
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Embed analytics within product squads to support delivery Build processes for analyst involvement in sprints; define measurement frameworks and tracking upfront; ensure high-quality outputs through prioritisation and coaching; collaborate with Product, UX, and Engineering to improve delivery and remove blockers.
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Strengthen data quality, automation, and scalability Guide analysis of large datasets; automate recurring reporting to free time for insights; ensure data is reliable and accessible; support scalable analytics across markets; own data layer and tracking improvements; manage relationships with analytics partners and platforms.
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Lead experimentation, segmentation, and optimisation Promote a quantified, impact-driven culture; lead analytics for A/B tests, prioritising and delivering high-impact experiments; embed a test-and-learn mindset; maintain a strong experimentation pipeline; use segmentation and behavioural insights to drive personalisation and optimisation.
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Act as a strategic partner in a product-led organisation Collaborate with the Digital Analytics & Experimentation Lead and Senior Manager to align priorities and evolve ways of working; ensure analytics is embedded in squads and positioned as a value-driving partner; support faster, better decisions across Customer, Product, UX, and Trading; thrive in a fast-paced environment through leadership and hands-on impact.
What You'll Get
People are at the heart of what we do here, so it's essential we provide you with the right environment to perform at your very best.
Requirements
Do you have experience in Teradata?, Proven experience leading and growing analytics teams in fast-paced eCommerce or product-led environments, operating within product-led ways of working with analysts embedded in squads, and delivering measurable commercial impact through data.
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Customer Behaviour, Value & Experimentation Expertise Skilled in analysing customer behaviour and value over time (cohorts, retention, CLV) to inform commercial and product decisions; experienced in supporting A/B testing, forming strong hypotheses, and ensuring experimentation data quality and reliability.
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Tracking, Tagging & Data Quality Ownership Deep experience defining and implementing tracking requirements, evaluating and improving data layer structures, working with tagging frameworks (e.g., Google Tag Manager), troubleshooting tracking issues, and ensuring accurate, reliable, decision-ready data.
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Technical Analytics Capabilities Strong proficiency in GA4/Firebase, SQL, digital analytics and UX tools (Contentsquare, Decibel, Quantum Metric), Tableau, and large-scale data platforms (BigQuery, Teradata, Databricks), with additional value from experience in segmentation, personalisation, and Python.
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International, Cross-Market & Collaborative Skills Experience working across multi-market/international environments; highly collaborative, emotionally intelligent, able to build strong relationships, influence stakeholders at all levels, and communicate complex ideas clearly and persuasively.
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High-Performance Personal Attributes Proactive, commercially minded, hands-on, and delivery-focused; strong leadership and coaching ability; thrives in fast-paced, ambiguous environments; strong prioritisation and presentation skills; curious, passionate about analytics and customer experience, and operates with integrity, sound judgement, and professionalism.