Category Management Specialist at dunnhumby

Mexico City, Mexico City, Mexico

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, CPGIndustries

Requirements

Bachelors degree in a relevant subject
Fluent English and Spanish
3-4 years relevant CPG, Merchants or Retail experience
Client-facing or stakeholder management experience
Knowledge of customer insights and consultative approach to selling
Experience with the SHOP/Shelf Review, Category management: assortment analytics, customer insight analytics
Mobility to be based in Mexico City

Responsibilities

Own and develop a client plan that delivers recognizable value, client satisfaction and return on investment
Work with Walmart Merchants and their CPG partners to help them use Walmart customer insights to place the customer at the heart of their collaborative decision-making
Project management experience

Skills

Key technologies and capabilities for this role

Category ManagementAssortment AnalyticsCustomer Insight AnalyticsShelf ReviewSHOPStakeholder ManagementClient-facingConsultative SellingEnglishSpanish

Questions & Answers

Common questions about this position

What is the salary for the Category Management Specialist position?

This information is not specified in the job description.

Is this role remote or onsite, and where is it located?

The position is onsite and requires mobility to be based in Mexico City.

What skills and experience are required for this role?

Requirements include a Bachelor's degree in a relevant subject, fluent English and Spanish, 3-4 years in CPG, Merchants or Retail, client-facing experience, knowledge of customer insights, and experience with SHOP/Shelf Review and category management analytics.

What is the company culture like at dunnhumby?

dunnhumby offers a nimble, small-business feel with freedom to play, experiment and learn, personal flexibility, flexible working hours, birthday off, investment in cutting-edge technology, and a strong commitment to diversity and inclusion with thriving networks.

What makes a strong candidate for this Category Management Specialist role?

Strong candidates will have 3-4 years of relevant CPG, Merchants or Retail experience, fluency in English and Spanish, client-facing experience, and specific knowledge in customer insights, SHOP/Shelf Review, and category management analytics.

dunnhumby

Customer data analytics for retail optimization

About dunnhumby

dunnhumby specializes in Customer Data Science, focusing on enhancing customer experiences for retailers and brands through data analysis. The company uses advanced analytics to interpret customer behavior, preferences, and trends, which allows clients to implement targeted marketing campaigns. Instead of storing personal data, dunnhumby analyzes data using unique identifiers from browsers and devices to maintain privacy. Its services include media solutions, customer insights, and personalized marketing strategies, which help clients improve customer engagement and sales. Additionally, dunnhumby Ventures invests in early-stage retail technology startups, ensuring the company remains at the forefront of retail innovation. The main goal of dunnhumby is to empower businesses to create better customer experiences through data-driven insights.

London, United KingdomHeadquarters

1989Year Founded

BUYOUT_LBOCompany Stage

Data & Analytics, Consulting, Venture Capital, Consumer GoodsIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Unlimited Paid Time Off

Remote Work Options

Risks

Departure of key media team member may disrupt dunnhumby's media strategy.

Challenges in integrating startups with enterprises could misalign innovation goals.

Data privacy concerns may arise from partnerships, affecting client trust.

Differentiation

dunnhumby leverages AI to optimize product selection and inventory management.

The company offers a unique Competitive Threat Evaluator for strategic market insights.

dunnhumby partners with startups through its Retail Innovation Network to drive retail tech.

Upsides

Real-time data analytics partnerships enhance dunnhumby's market adaptability.

AI-powered tools position dunnhumby as a leader in competitive retail analysis.

The Retail Innovation Network fosters collaboration, boosting innovation in retail technology.

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