Senior Retail Analyst

New Yesterday

What You'll Do 

  • Lead delivery of insights that drive performance across store operations, service, fulfilment, and omnichannel journeys. 
  • Partner with stakeholders across Central Ops, Retail, Format, Supply Chain, and Customer Experience to identify and solve business challenges. 
  • Write clean, efficient SQL to analyse large datasets across store performance, labour models, shrink metrics, and fulfilment operations. 
  • Build dashboards in Metabase that surface KPIs, performance outliers, and actionable insight for field teams and central operations. 
  • Run deep dives into operational pain points such as store availability, C&C failures, missed picks, and schedule adherence. 
  • Customer experience, Loyalty, Conversion, fulfilment, labour, shrink, and Click & Collect 
  • Own projects from brief to outcomeincluding discovery, prioritisation, stakeholder alignment, and delivery tracking.
  • Collaborate with BI Developers, other Embedded Analysts, and cross-functional squads to land scalable data solutions.  
  • Mentor mid-level analysts on analytics delivery, tooling, and stakeholder engagement. 
  • Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool

Location

This role is based can be based in London or Nuneaton, and may be occasionally required to travel to any other location of H&B. We support flexibility and productivity of our employees by hybrid working arrangements with minimum 2 days presence in the office.

The Person

What We're Looking For 

Core Skills & Behaviours 

  • SQL expertise: Confident writing advanced queries across operational, retail, and fulfilment datasets. 
  • Central operations knowledge: Understands store KPIs such as availability, shrink, productivity, labour planning, and in-store fulfilment. 
  • Stakeholder influence: Partners effectively with Central Ops, Retail, Format, and Field teams to deliver actionable insight. 
  • Delivery ownership: Leads projects from scoping through to delivery and iteration, balancing pace with precision. 
  • Communication: Able to translate operational insight into clear business recommendations. 
  • Visualisation: Designs usable dashboards in Metabase or similar tools (Tableau, PowerBI, Looker) to support day-to-day store performance and long-term planning. 
  • Collaboration: Works well in squads, across disciplines, and with BI and Ops peers. 
  • Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Economics, or Engineering, and 46 years of experience in analyticspreferably with exposure to retail operations, in-store analytics, or supply-driven service environments. 
Benefits

What we offer:

Wellbeing & Lifestyle Benefits 

  • Health Cash Plan  
  • Life Assurance
  • Incentive Scheme - Based on personal & company performance
  • Virtual GP 
  • Private Medical care
  • FREE at-home blood test kit 
  • Holiday Purchase option 
  • Pension Contribution scheme
  • Access to Wellhub' with gyms, studios and wellbeing apps 

Discounts & Savings 

  • 25% Colleague Discount with FREE Next Day Delivery 
  • Exclusive Discounts from a wide range of partners 
  • £/50 Annual Product Allowance to spend in store 

Learning & Development 

  • Access to a variety of learning opportunities, including Level 2-5 Apprenticeships, Workshops and our Digital Learning Library 
  • AND MORE! 

#LI-Hybrid
#LI-CM1

Our Recruitment Process

Our selection process is designed to be thorough, transparent, and aligned with the role. It includes:

  • A short Coderbyte assessment to evaluate core technical and analytical skills
  • Role-specific questions to understand your approach to relevant challenges
  • An interview with the Hiring Manager to explore your experience and motivations
  • A case study to demonstrate problem-solving and strategic thinking
  • A follow-up review to delve deeper into your insights and approach
  • Short conversations with team members to assess team fit and working style
Apply
Location:
London
Job Type:
FullTime

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