Loyalty Insights & Customer Analytics Leader

JobSpace

Auckland

On-site

NZD 120,000 - 160,000

Full time

11 days ago
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Benefits offered by this job

Free carparking
Health insurance
Onsite cafe with meals discount
Discount at stores
Flexible working options
Birthday leave
Learning & development

Job summary

Foodstuffs is seeking a Loyalty Insights & Customer Analytics Manager in Auckland to lead a data-driven loyalty programme strategy. The role focuses on understanding Club+ customer needs, behaviours, and value from benefits, driving personalised journeys across the lifecycle.

You will oversee dashboards, insights storytelling, and cross-functional collaboration with marketing, CX, product, and data teams to optimise propositions and experiences.

Qualifications

  • 7+ years' experience in loyalty programme or shopper insights and customer strategy.
  • Strong expertise in lifecycle marketing and personalised engagement.
  • Ability to translate insights into actionable recommendations from first-party data sources.
  • Experience leading cross-functional agile teams and influencing stakeholders.
  • Deep understanding of data platforms and marketing technology.

Responsibilities

  • Lead loyalty programme, customer engagement and insights to identify trends and opportunities.
  • Translate customer behaviours into actionable personalised experiences and offers.
  • Oversee engagement reporting, dashboards and data visualisation to support data-driven decisions.
  • Lead and develop a high-performing engagement insights team across marketing, CX, product and data stakeholders.

Skills

Loyalty programme
Lifecycle marketing
Data storytelling
Stakeholder engagement
Team leadership
First-party data

Job description

Foodstuffs is seeking a Loyalty Insights & Customer Analytics Manager in Auckland to lead a data-driven loyalty programme strategy. The role focuses on understanding Club+ customer needs, behaviours, and value from benefits, driving personalised journeys across the lifecycle.

You will oversee dashboards, insights storytelling, and cross-functional collaboration with marketing, CX, product, and data teams to optimise propositions and experiences.

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