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dunnhumby

Global customer data science and insights

Instructional Designer

Instructional Design & Curriculum DevelopmentConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree or equivalent experience is required.
  • Experience using Articulate 360, Adobe Creative Suite, Camtasia, Microsoft Office, and Figma, and applying ADDIE and Kirkpatrick learning frameworks is required.
  • Experience with learning management systems, learning experience platforms, and web-based learning platforms, with a basic understanding of application programming interfaces and system integrations, is required.
  • Experience analyzing learning feedback, data, and reports to measure impact and drive continuous improvement is required.
  • Strong organizational skills and the ability to manage multiple tasks and priorities are required.

Responsibilities

  • Apply learning models, frameworks, and technologies to design effective, high-quality learning experiences.
  • Create learning solutions for web-based learning, instructor-led workshops, and virtual workshops.
  • Support the development of artificial intelligence-enabled learning experiences, including chatbots.
  • Support learning operations and coordination activities.
  • Build trusted relationships with stakeholders.

Desired Qualifications

  • Exposure to chatbot development using Node.js and Oracle Digital Assistant (ODA).
  • Exposure to HTML-based course development.

About the Company

dunnhumby

Global customer data science and insights

Dunnhumby uses Customer Data Science to help retailers and consumer brands improve customer experiences through data-driven insights, offering services like media solutions, customer insights, and personalized marketing strategies, and it also runs Dunnhumby Ventures to back early-stage retail tech startups. It analyzes shopper data from browsers and internet devices using unique identifiers without storing personal information to generate actionable insights that drive targeted campaigns. It differentiates itself by combining depth in retail-focused data science with a suite of services and a corporate venture fund to help clients optimize customer interactions across channels. Its goal is to empower retailers and brands to deliver better, data-informed experiences that boost sales and engagement.

Company size
1,001-5,000
Company stage
Acquired
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
1989

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