<p><strong>Lead Digital Analyst – Customer Analytics (C4) – Hybrid Working</strong></p> <p><strong>Why Join Us</strong></p> <p>At Argos, data is one of the most important parts of how we operate, innovate and serve our customers; our Data & Analytics Team ambition is to build the most technically‑advanced, commercial and impactful capability in the industry, powering our Next‑Level Strategy and helping to create an AI‑powered Argos, enabling More Argos, More Often through Inspiring Choice, Always Great Value and Supercharging our Digital Capabilities.&nbsp;</p> <p>The role holder will be responsible for delivering deep-dive Customer Analytics, primarily Digital but with a view<strong>&nbsp;</strong>across the full end-to-end Customer Journey, focusing on segmentation, Customer Lifetime Value, Behavioural Analysis and Journey Analytics to provide a clear Single Customer View.</p> <p><strong>What you'll do</strong></p> <ul> <li>Performing deep-dive, Digital data-led analysis of Argos Digital Channel performance, focusing primarily on Customer Analytics to generate insights and informing our stakeholders of Campaign, Commercial and Customer Experience optimisation opportunities.</li> <li>Supporting the Analytics Manager –Customer and Digital Marketing Analytics, by: <ul> <li>Acting as a Customer Analytics subject matter expert across Argos Digital Channels to ensure business partners have the right analytics and insights to make decisions on change across our Digital Channels.</li> <li>Effective management and prioritisation of Data & Analytics Use Cases to ensure on-time and high-quality delivery.</li> </ul></li> <li>Act as part of a cohesive Digital & Customer Analytics team by collaborating with and supporting the wider eCommerce, Digital Product Analytics and Marketplace Analytics team; providing a complete and accurate analysis of our end-to-end Customer Journey and Digital Channel performance.</li> <li>Triage and assessment of D&A Use Cases to clearly understand the ask, providing subject matter expert input to guide the correct Data and Analytics approach to deliver the requirements.</li> <li>Effective stakeholder management across multiple teams and levels, up to senior leadership.</li> <li>Acting as a central point of contact between Business and Technical teams to guide Data and Analytics requirement definition and implementation across the Product Design lifecycle.</li> <li>Identification of new ways to improve and optimise existing ways of working through automation and optimisation, including research into emerging technologies.</li> </ul> <p><strong>What I need to know</strong></p> <ul> <li>Expertise in Digital Analytics and Customer Analytics measurement, including tools such as Adobe Analytics, GA4 and Adobe Target</li> <li>You must have extensive experience in&nbsp;Customer Analytics&nbsp;and Insight Generation in a Digital Retail Click-and-Collect environment, including Customer Segmentation, Customer Lifetime Value, Behavioural Analysis and Journey Analytics.&nbsp;</li> <li>You are an expert in Data storytelling, turning complex and technical Analytics terminology into clear, unambiguous and engaging business direction.</li> <li>Extensive experience analysing data and multiple‑source datasets to generate actionable insights from large, complex data environments.</li> <li>Expert knowledge of Digital data technologies and solutions across the data lifecycle—from data collection, definition and processing to enrichment, storage and visualisation.</li> <li>Knowledge or hands‑on experience with SQL, Python, Power BI, and familiarity with Snowflake, AWS or similar cloud data technologies.</li> <li>Proven ability to influence and manage senior stakeholders across multiple workstreams in a complex retail, omnichannel or digital environment.</li> </ul> <p><strong>Essential Criteria</strong></p> <ul> <li>Demonstratable expertise in Adobe Analytics, <span>GA4, Adobe Target, Heap or similar analytics tools.</span></li> <li>Demonstrable experience delivering customer analytics and insight within a digital retail or omnichannel environment, including customer segmentation, customer lifetime value, behavioural analysis and customer journey analytics.</li> <li>Proven capability to translate business questions into defined data use cases, including the development of measurement frameworks, KPIs and clearly articulated success measures that support business decision‑making.</li> <li>Demonstrable experience influencing senior stakeholders and leading others within a data and analytics function, including providing analytical direction, mentoring colleagues and producing executive‑level reporting or dashboards.</li> <li>Proven ability to analyse large, complex and multi‑source datasets to produce actionable insights, including hands‑on use of data analysis tools such as SQL and Python, and insight visualisation using platforms such as Power BI or equivalent.</li> </ul>