Senior Quality Data & Insights Strategist

Hill's Pet Nutrition; Topeka (KS); On-site; USD 107,000 - 125,000; Full time

Job summary

Colgate-Palmolive is seeking a Sr. Specialist, Quality Data & Insights to transform global consumer and veterinary complaint data into actionable intelligence. You will extract, validate, and evaluate data from global systems, oversee investigations, and ensure timely closure per standards.

The role enhances monitoring with automated early-warning systems and predictive watches. You will design data models, collaborate cross-functionally, and lead data-driven discussions to support product

Qualifications

• Bachelor's degree required in a relevant field.
• 4+ years of data analysis, compliance, risk management or quality control experience.
• Experience querying, cleaning, and integrating datasets; creating pivot tables and custom visualizations.

Responsibilities

• Extract data from global databases (Wilke-Global, CRS, SAP) and maintain tracking tables; review data for accuracy; close adverse event complaints.
• Lead oversight of consumer complaint investigations; ensure completion per quality and regulatory requirements.
• Provide monthly complaint reports to plants and contract manufacturers; support audits and regulatory visits.
• Update complaint SOPs.
• Lead monthly complaint review meetings with cross-functional teams.
• Translate technical analytical concepts to non-technical stakeholders to drive data-informed decisions.

Skills

Data analysis

SQL

Python

Data visualization

Data storytelling

English communication

Education

Bachelor's degree in a related field

Master’s Degree

Tools

SAP

CRS

Wilke-Global

Job description

Colgate-Palmolive is seeking a Sr. Specialist, Quality Data & Insights to transform global consumer and veterinary complaint data into actionable intelligence. You will extract, validate, and evaluate data from global systems, oversee investigations, and ensure timely closure per standards.

The role enhances monitoring with automated early-warning systems and predictive watches. You will design data models, collaborate cross-functionally, and lead data-driven discussions to support product