Data Analytics Specialist

Established in 1806, Colgate-Palmolive is a global company with products sold in over 200 countries and territories under recognized brand names such as Colgate, Palmolive, and Hill's Science Diet. We are a leading consumer products company serving hundreds of millions of consumers worldwide with brands and products across four core businesses – Oral Care, Personal Care, Home Care, and Pet Nutrition. Our goal is to use technology to create products that improve the quality of life for our consumers. A career at Colgate-Palmolive offers a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness. Travel Required: up to 10% of time. Posting Start Date: 10/7/25. Hybrid. No Relocation Assistance Offered. Job Number # - Sao Paulo, Sao Paulo, Brazil. 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. Join us, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Position Summary The Data Analytics Specialist will be the main technical and analytical point of contact for the Retail Category Development team, responsible for managing sellout and market data infrastructure, ensuring quality, optimization, and accessibility of data. Key Responsibilities Data Management and Engineering Database Management: Manage the client’s sellout database. ETL and Optimization: Create, oversee, and maintain ETL processes using tools like DOMO and Snowflake. Data Mapping: Map and manage internal and external data sources. Market Data: Manage the market database in the CP Genius system. Analysis, Insights, and Reporting Dashboard Creation: Develop and maintain dashboards in Domo, ensuring key metrics are clearly visualized. Analytical Support: Provide in-depth insights and analytical solutions to support assortment, pricing, and exposure decisions. Critical KPI Reporting: Report and monitor essential company KPIs, including ND, WD, SOA, and Productivity. Product Segmentation: Report and analyze product segmentation from Scanntech. Automation and Innovation Automation and Tools: Create automations and develop tools to increase the RCD team’s productivity. AI Projects: Participate in and lead the implementation of Artificial Intelligence projects within the RCD team. Qualifications Mandatory Requirements: Solid experience in Data Analytics, Business Intelligence, or Data Engineering. Advanced expertise in SQL for querying and handling large data volumes. Practical experience with data warehousing tools, such as Snowflake. Proficiency in creating dashboards and managing data on BI platforms (preferably Domo). Strong knowledge and/or previous experience with retail and sellout data, especially KPIs such as ND, WD, and Share. Preferred Qualifications: Knowledge of Python or R for automation and advanced statistical analyses. Experience with retail panel data (e.g., Scanntech, Nielsen, Kantar). Experience with Machine Learning/Artificial Intelligence projects applied to sales, retail, or category optimization. Knowledge of the CP Genius system. We foster an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. We are 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, or any other characteristic protected by law. #J-18808-Ljbffr