Data Analytics Lead
hace 2 días
Kingston Upon Thames
Data Analytics Lead | Retail & Consumer Brands | Hybrid - London | £80k-£90k + Benefits/Progression Zachary Daniels are delighted to be working with a growing portfolio of UK retail and lifestyle brands to recruit an experienced AI, Data & Analytics Lead. This is a pivotal opportunity to take ownership of data strategy, reporting, and AI adoption across a multi-brand group. As the AI, Data & Analytics Lead, you'll spearhead the consolidation of multiple reporting suites, databases, and middleware platforms, shaping the roadmap and embedding a data-driven culture across the business. From integrating ERP and ecommerce systems, to building reliable dashboards and exploring the adoption of AI tools, this is a high-impact role at the centre of transformation. Benefits You'll Enjoy: · Competitive salary up to £90,000 DOE · High visibility, reporting directly into IT leadership · Autonomy to shape the group's AI and data strategy · Supportive, fast-paced retail culture with real career growth · Hybrid working model (2-3 days in office) Role Responsibilities: · Develop and deliver the group-wide data and analytics roadmap. · Lead on data engineering and reporting, with hands-on expertise across Azure SQL, Power BI, AWS Redshift and similar platforms. · Consolidate disparate systems (ERP, EPOS, WMS, ecommerce) into a reliable, scalable reporting framework. · Architect and implement integrations, middleware, and data warehousing solutions. · Produce, manage, and optimise business-critical dashboards and reporting suites. · Work with IT leadership to define and implement an AI adoption strategy. · Own relationships with external integration, middleware, and reporting partners. · Foster a data-driven culture by empowering business users with BI and self-service reporting. About You: · 5+ years' experience in integration, middleware, and reporting within retail. · Strong technical skills across SQL, data warehousing, and BI/reporting tools. · Proven experience driving data governance, privacy, and lifecycle management. · Comfortable consolidating complex systems into unified reporting structures. · Strong communicator, able to translate business needs into technical delivery. · Excited by the potential of AI and keen to lead its adoption. Apply today with your most up-to-date CV! BBBH34501