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We are looking for a Senior Consumer Data Manager to join our Global Digital & Consumer Marketing team, supporting our Niche brands including Penhaligon’s, L’Artisan Parfumeur, Dr Barbara Sturm, (amongst other brands), based in London. Reporting to the Data & Insights Director, this role plays a key part in transforming consumer data into actionable insights that optimise the end-to-end consumer experience across ecommerce and omnichannel touchpoints. This is a highly collaborative, hands-on role for a Data & Insights professional who can bridge analysis and commercial thinking, acting as a trusted partner to CRM, Performance Marketing, Ecommerce and Digital teams while supporting the execution of the wider consumer data strategy. |
• Lead consumer and marketing analytics initiatives focused on customer behaviour, lifecycle, segmentation, and loyalty strategies. • Generate actionable, consumer-led insights that inform personalisation, campaign optimisation, and targeting strategies. • Partner with CRM, Marketing, Digital, and Commercial teams to turn complex data into clear narratives and recommendations. • Build and maintain interactive dashboards and reporting solutions that enable data-driven decision-making. • Champion experimentation by leading A/B testing, test-and-learn, and data-driven initiatives to enhance customer understanding. • Support the design and optimisation of data pipelines and analytical frameworks with Data Engineering and IT. • Partner with Digital and Product teams to provide customer and performance insights that inform the evolution of the digital experience. |
• Collaborate closely with Data Engineering and IT to ensure robust data quality, governance, and scalable analytics foundations.
• Proven experience in a consumer, marketing, or digital analytics role within an ecommerce, retail, or omnichannel environment (luxury or beauty experience a plus). • Strong analytical capability with working knowledge of SQL to query and explore data; ability to partner with technical teams or vendors for more advanced analytics. • Hands-on experience with data visualisation and BI tools (e.g. Tableau, Power BI, Looker) and delivering automated reporting and dashboards for business stakeholders. • Experience working with data platforms or cloud-based data environments (e.g. BigQuery, Snowflake, Azure) and navigating data ecosystems across multiple sources. • Understanding of digital customer journeys and key ecommerce performance metrics • Demonstrated ability to translate complex data into clear, actionable insights and recommendations for non-technical audiences. |
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