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Strategic Store Optimiser

2 weeks ago


Sydney, New South Wales, Australia beBeeAnalyst Full time $113,574 - $150,000
Optimisation Strategist Job

This role involves leveraging technology to enhance store efficiency and customer experience through data-driven insights. The ideal candidate will have a strong analytical mind and be able to create tailored store layouts using Planogram Generator.

  • This includes partnering with various teams to enhance store efficiency and customer experience through data-driven insights creating tailored store layouts through Planogram Generator with an understanding of impact on range.
  • The analyst also focuses on performance analysis and continuous improvement to unlock commercial opportunities.
Key Responsibilities:
  • Develop impactful and collaborative merchandising optimisation strategies across Commercial and Merchandising & Customer Value to deliver Supermarket priorities, exceptional customer value, and commercial goals.
  • Accountable user of our merch optimisation technology to create and govern action lists that produce store-specific space that drive the most effective and efficient space and commercial outcomes.
  • Lead and initiate with insights and commercial success by providing influential recommendations grounded in strong analytics of our merchandising principles and category performance.
  • Employ deep critical thinking and problem solving to optimise and find the best balance between range, merchandising and operational objectives & deliverables.
  • Collaborate seamlessly across the entire Woolworths Group ecosystem, providing vital support to valued partners across the business, including Metro.
Requirements:
  • A minimum of 3 years experience in relevant roles (e.g.: merchandising, category analyst, data & insight analyst, finance analyst, pricing analyst) - OR
  • Bachelor Degree in Business, Marketing, Finance or related subject or equal professional experience
  • Proficient understanding of Google & Microsoft systems, with intermediate excel functions (e.g.: pivot tables, formulas, conditional formatting)
  • Basic to intermediate GCP and/or SQL knowledge - advantageous
  • Knowledgeable in agency datasets (Quantium, Shopper Intelligence, Circana or equivalent)