E2E Data and Analytics Specialist

Relocation Assistance Offered Within Country

Job Number #175292 - 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 E2E Data and Analytics Specialist you will be responsible for the execution of the analytical strategy and data governance across Hill's Supply Chain functions, including Network Operations, Procurement, and Sourcing. This position implements the data and analytics solution strategies and roadmaps for emerging capabilities and integrates them into the analytical platforms for Hill's Supply. This role will work cross-functionally and cross-regionally to improve overall supply chain performance, vendor compliance, sourcing strategies, and cost efficiencies through data analytics and data science.

** Key Responsibilities*
* + Implement Global Initiatives and Strategies:
Collaborate with the Hill's GSC Data, AI, and Analytics Manager and CP Global Analytics team to implement analytics enablement strategies, solution roadmaps, and governance frameworks for Hill's Demand team.

+ Manage Data and Analytics Projects:
Serve as Scrum Master, ensuring agile and timely delivery of all data and analytics projects focused on supply performance, sourcing, and network optimization.

+ Champion Automation:
Identify opportunities for process improvements and lead initiatives to enhance efficiency and accuracy through the automation of procurement metrics, spend analysis, and operational reporting.

+ Govern & Manage Data Warehouses:
Oversee the management and optimization of the data housed in SQL environments, including platforms like Snowflake and Google Big Query, ensuring data availability for key supply metrics (e.g., total delivered cost, supplier performance, raw material tracking) while adhering to global data management guidelines.

+ Drive AI Use Cases and Utilization:
Identify and implement use cases for AI solutions by function, ensuring the utilization of available tools. Conduct training sessions to engage teams and guide them on how to incorporate AI tools into their daily work.

** Required Qualifications*
* +

Education:

Bachelor's degree in Data Science, Data Engineering, Supply Chain Management, Procurement/Sourcing, Business Analytics, or a related field.

+

Experience:

5+ years of combined experience in analytics, data strategy, and/or project management.

+ Technical Data

Skills:

Experience managing and optimizing data warehouses, with a strong understanding of SQL environments, Snowflake, Google Big Query, and other cloud data platforms.

+ Data Visualization:
Proficiency in analytics and visualization tools such as Tableau, DOMO, and Sigma or any similar visualization tools.

+ Business Acumen:
Broad business knowledge and a strong understanding of Global Supply Chain systems, procurement workflows, and network operations.

+ Leadership:
Ability to lead and handle multiple projects and priorities effectively with strong planning and organizational abilities.

** Preferred Qualifications*
* + 3+ years of Supervisory or Project Management experience.

+

Experience with in a supply, procurement, network operations, or manufacturing analytics context.

+ Basic knowledge of Python, AI, machine learning, and advanced analytical techniques applied to supply chain optimization (e.g., network modeling, predictive sourcing).

+ Master's degree in Data Science, Data Engineering, Supply Chain…