Advanced Analytics- Retail

Relocation Assistance Offered Within Country

Job Number #175993 - Overland Park, Kansas, United States

** Who We Are*
* 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.

** Work visa sponsorship is not available for this position.  Accordingly, all applicants must be currently authorized to work in the U.S. on a full-time basis and must not require the Company's sponsorship to continue to work legally in the United States.*
* At Hill's we have a purpose to transform the lives of millions of pet families through pioneering innovation, science-led nutrition, and the best and brightest people. If you're interested in work that matters, fueled by passion for pets, we invite you to apply.

Founded more than 75 years ago with an unwavering commitment to pet nutrition, Hill's mission is to help enrich and lengthen the special relationships between people and their pets. Our decades of science and research guide us in creating nutrition that's a step ahead so pets and pet parents can enjoy every day together. As the US #1 Veterinarian recommended pet food brand, knowledge is our first ingredient with 220+ veterinarians, PhD nutritionists and food scientists working to develop breakthrough innovations in pet health.

As the  
** Advanced Analytics - Retail
** you will be responsible for the secure access, extraction, and transcription of data analytics from the retail data that supports the business and brand strategies. This data transformation is critical for providing clean, high-fidelity datasets used to craft strategic opportunities to drive Hill's growth, share, and overall profitability. This position will work closely with the commercial teams to ensure alignment to strategies,  data fidelity and efficient execution of data outputs.

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* Key Responsibilities:

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* + Serve as the subject matter expert for retail data ingestion, transformation, and transcription, ensuring high data integrity

+ Operate effectively within a secure clean room environment, adhering to strict data handling standards

+ Securely access, query, and process raw retail data to generate clean, governed, and actionable datasets for strategic analysis

+ Design and develop commercial and marketing predictive models, including customer retention, prospect acquisition, and next-best-action strategies

+ Enforce rigorous data governance and security protocols to ensure compliance with clean room operational requirements

+ Partner cross-functionally with commercial teams to align data outputs with modeling requirements and business objectives

+ Drive the automation and scalability of retail data workflows, enhancing capabilities for self-service analytics

+ Deliver accurate and timely ad-hoc data analysis and reporting focused on key retail channel insights

+ Provide expert-level retail data reporting and business intelligence to drive data-informed decision-making

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* Required Qualifications:

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* + Bachelor's degree in Analytics, Business, Data Science, Marketing, or related field

+ 5+ years of related experience focused on secure data handling, data science, or transcription within a regulated environment

+ Proven experience with building dashboards and reporting using standard visualization tools (DOMO & Sigma preferred)

+ Expertise in SQL and programming languages (R/ Python) for advanced analytics and model building

+ Proven ability to create predictive models using complex methodologies - gradient boosting, logistic regression, k-means clustering, etc

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* Preferred Qualifications:

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Experience with marketing, commercial environments

+ Experience in breaking down sophisticated data transformation problems to find data solutions that lead to business growth

+ Proficiency in cloud-based data storage and processing (e.g., GCP, AWS)

+ Proven experience working within a "clean room" or secure data enclave environment

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Experience with retail data providers (e.g., IDEXX, or similar data)

+ 4+ years experience in Business Analytics

+ Experience in…