Category & Store Solutions Analyst - Flexible Hours

dunnhumby; Bentonville (AR); On-site; USD 45,000 - 65,000; Full time

Job summary

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow and deliver measurable value.

We’re looking for a Category & Store Solutions Associate who expects more from their career, an exciting opportunity for someone at the start of their professional journey to learn how data, insights,

Qualifications

• Degree (or equivalent) in a relevant field.
• Curiosity and a willingness to learn about data, retail, and product development.
• Comfort working with data, analytics, or business tools (e.g., Excel, dashboards, BI tools).
• Any internship or academic project related to data, business, or technology.
• A proactive mindset and eagerness to take on new challenges.
• Strong communication and writing skills and ability to work well in a team.
• Support the product management team across planning, testing, and delivery of new enhancements and capabilities.

Responsibilities

• Support the product management team across planning, testing, and delivery of new enhancements and capabilities — including feature release content and product enablement.

Skills

Data analysis

Strong communication

Team collaboration

Proactive mindset

Willingness to learn

Education

Degree in a relevant field

Tools

Excel

BI tools

Dashboards

Job description

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow and deliver measurable value.

We’re looking for a Category & Store Solutions Associate who expects more from their career, an exciting opportunity for someone at the start of their professional journey to learn how data, insights,