Advanced Analytics - Retail
Listed on 2026-06-21
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IT/Tech
Data Analyst, Data Engineering, Data Security, Data Science Manager
No Relocation Assistance Offered
Job Number #173126 - Overland Park, Kansas, United States
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.
The Advanced Analytics - Retail role is 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.
Responsibilities- Be the subject matter expert for retail data ingestion and transcription
- Work and operate within a clean room environment
- Securely access, query, and transcribe raw data analytics from retail to produce clean, governed datasets for strategic analysis
- Develop and implement automated processes for data extraction, cleaning, and transcription from the clean room to reduce manual effort
- Maintain strict data governance and security protocols specific to clean room operations and compliance requirements
- Partner with commercial teams to ensure transcribed data meets modeling and analytical requirements
- Support automation and scalability of clean room and retail data workflows for self-service analytics
- Provide accurate and timely Ad Hoc data sets and analysis focused on the retail Channel
- Bachelor's degree
- 3+ years of related experience focused on secure data handling, data engineering, or transcription within a regulated environment
- Proven experience working within a "clean room" or secure data enclave environment
- Expertise in SQL and programming languages (R/ Python) for advanced querying and data pipeline development
- 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)
- Experience with retail data providers (e.g., IDEXX, or similar data)
- 4+ years in Business Analytics
- Experience in the CPG (Consumer Packaged Goods) or Animal Health industry
- Familiarity with data governance policies and PII compliance best practices
Salary Range $ - $ USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits:
Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year).
Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
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.
EqualOpportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
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