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Analytical Consultant (Retail)

48 000 - 57 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Analytical Consultant (Retail): Translating complex market and shopper data into actionable business strategies for a major UK grocery retailer with an accent on strategic partnership and insight-led growth. Focus on leveraging scanning and panel datasets to identify growth opportunities and influence decision-making.

Location: Hybrid (Must be based in London or Oxford, UK)

Salary: 48,000 – 57,000 GBP gross per year

Company

Global consumer intelligence company providing the most complete view of consumers and markets through advanced analytics and unparalleled datasets.

What you will do

  • Act as a strategic advisor for a major UK grocery retailer to unlock value from data and insights.
  • Combine Scanning, Panel, and other datasets to identify market trends and shopper behavior.
  • Translate complex business questions into actionable insight programs and strategic recommendations.
  • Build and maintain strong relationships with key stakeholders across commercial and insight functions.
  • Deliver compelling storytelling to influence senior stakeholder decision-making and business planning.
  • Support account planning and identify opportunities to increase the value of NIQ deliverables.

Requirements

  • Proven experience in FMCG, retail, or market research analytics.
  • Strong analytical capability, specifically using Consumer Panel data.
  • Demonstrated ability to manage stakeholders and build trusted relationships.
  • Strong commercial awareness and understanding of business drivers.
  • Confident presentation and storytelling skills.
  • Ability to work in a hybrid mode from London or Oxford.

Culture & Benefits

  • Flexible, people-first working environment.
  • Strong career and leadership development opportunities.
  • Access to industry-leading analytical tools and global datasets.
  • Volunteer time off and Employee Assistance Program (EAP).
  • Professional growth via LinkedIn Learning.

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