Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let’s build a brighter, healthier future for all.
The Category Executive is the analytical engine for the UK and Ireland category retail marketing, providing the data infrastructure and insights that fuel our omnichannel growth plans. Reporting to the Retail Marketing Director, you will support the wider team by owning data reporting, analysis, and administrative support. By mastering internal AI tools and syndicated data, you will enable Category Managers and Customer Managers to be more productive and shopper-centric in their engagements with customers.
Responsibilities
- Own Data Synthesis and Reporting by managing Nielsen, household panel, and loyalty data to provide performance updates across all strategic accounts in the hub.
- Harness AI for Productivity by utilizing and developing internal AI tools to automate data pulls and uncover root-cause trends across physical and digital shelves.
- Support Retail Marketing Initiatives by providing the analytical foundation for range reviews, digital shelf audits, and omnichannel promotional tracking.
- Enable Team Efficiency by creating standardized reporting templates that allow the team to spend more time on customer-facing strategic activities.
- Champion Data Accuracy across all internal and external sources, ensuring the “voice of the data” is consistent and reliable.
- Support Hub-wide Projects as directed by the Retail Marketing Director to ensure category principles are met across the UK and Ireland.
Required qualifications
- Bachelor’s degree (Business, Data Analytics, or Marketing preferred).
- At least 1-2 years of experience in an analytical or commercial support role (placement years included).
- Advanced technical proficiency in Excel/Google Sheets and a demonstrated aptitude for learning new AI and data visualization software.
- Strong attention to detail and a passion for “connecting the dots” between different data sources.
Preferred qualifications
- Experience with syndicated data (Nielsen, Kantar, IRI).
- LIFT Principle Alignment: “Pursue our Curiosity” by finding new ways to use AI to improve reporting speed and insight quality.
- Effective communication skills to present data findings clearly to senior internal stakeholders.
Our commitment to inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
