Shopper Insights Client Associate — Data-Driven Retail Impact

dunnhumby Ltd.; Bentonville (AR); Vor Ort; USD 52.000 - 78.000; Vollzeit

Benefits dieser Stelle

Comprehensive rewards package

Personal flexibility

Flexible working hours

Birthday off

Investment in cutting-edge technology

Freedom to play, experiment and learn

Zusammenfassung

dunnhumby Ltd. in Bentonville is seeking a Shopper Insights Client Associate to join our team and help transform data into actionable retail insights. You will work closely with clients and internal teams to deliver training, onboarding, and ongoing support.

You'll demonstrate strong collaboration, communication, problem-solving, and data-checking skills while contributing to project work and ensuring data integrity across our tools and sources.

Qualifikationen

• Great collaboration with colleagues.
• Strong communication and presentation skills.
• Problem solving and hypothesis thinking.
• Setting up and onboarding current and new clients, delivering training and support.
• Compiling, verifying accuracy and sorting information to prepare source data for our tools.
• Reviewing data for deficiencies or errors, correcting incompatibilities and checking output.
• Proactively improving internal client processes.

Aufgaben

• Collaborate with colleagues to deliver client insights.
• Onboard and train clients, provide ongoing support.
• Prepare source data for tools and verify accuracy.
• Review data for issues and correct output.
• Proactively improve internal client processes.

Kenntnisse

Collaboration

Communication

Problem solving

Client onboarding

Training support

Data verification

Data preparation

Process improvement

Jobbeschreibung

dunnhumby Ltd. in Bentonville is seeking a Shopper Insights Client Associate to join our team and help transform data into actionable retail insights. You will work closely with clients and internal teams to deliver training, onboarding, and ongoing support.

You'll demonstrate strong collaboration, communication, problem-solving, and data-checking skills while contributing to project work and ensuring data integrity across our tools and sources.