Data Analytics Lead

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!

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