Food Category Analyst: Data-Driven Growth

WR Logistics

Slough

Hybrid

GBP 27,000 - 33,000

Full time

5 days ago
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Job summary

WR Logistics is seeking a Category Executive to support category reviews, strategy and data-driven growth opportunities. You will analyse performance, understand customer needs and help optimise product ranges across various channels.

Proficiency in Excel and Power BI is preferred, with collaboration across Buying, QA and technical teams. The role offers a hybrid working model (minimum 2 days in the office) and is aimed at individuals with strong analytical, organisational, and communication

Qualifications

  • Analytical and commercially curious mindset.
  • Comfortable working with data in Excel and Power BI.
  • Strong communicator capable of influencing across teams.

Responsibilities

  • Support category reviews and strategy using data and insight to identify growth opportunities.
  • Analyse category and product performance, competitors and customer needs.
  • Use Excel (Pivot Tables) and Power BI to manipulate, analyse and present data.
  • Help optimise product ranges across customer channels and sectors.
  • Manage Own Brand NPD and range-gap Bidflow with Buying, QA and technical teams.
  • Identify opportunities across Own Brand, Branded and Exclusive Brands.
  • Collaborate with customers and suppliers to understand market trends and opportunities.
  • Create and coordinate category collateral, including digital and printed content.
  • Support category events, supplier engagement and industry/trade shows.

Skills

Analytical thinking
Data interpretation
Stakeholder communication
Organisational skills
Commercial awareness
Team collaboration

Tools

Excel (Pivot Tables)
Power BI

Job description

WR Logistics is seeking a Category Executive to support category reviews, strategy and data-driven growth opportunities. You will analyse performance, understand customer needs and help optimise product ranges across various channels.

Proficiency in Excel and Power BI is preferred, with collaboration across Buying, QA and technical teams. The role offers a hybrid working model (minimum 2 days in the office) and is aimed at individuals with strong analytical, organisational, and communication

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