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Job Description
Information at a Glance
Job Title: Data Analytics Engineer
Travel Required?: Travel - up to 10% of time
Posting Start Date: 11/6/26
On-site
No Relocation Assistance Offered
Job Number #177293 - Ben Cat town, Binh Duong, Viet Nam
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.
The Data Analytics Engineer at My Phuoc Plant is responsible for using analytical tools to uncover meaningful insights, trends, and patterns that directly contribute to informed business decisions.
Core Responsibilities
- Design, build, and maintain robust, scalable, and efficient ETL/ELT pipelines for manufacturing data from various systems (MES, Historian, PLCs, SAP, IoT, Google Drive, Snowflake) into data lakes, warehouses, or analytical platforms.
- Develop and optimize data models within platforms like Snowflake, Databricks, or Google BigQuery to support reporting and advanced analytics. Ensure data integrity, performance, and scalability for manufacturing data.
- Implement automated data quality checks, validation, and monitoring processes in data pipelines to ensure accurate, complete, and consistent manufacturing data. Embed data governance and security best practices.
- Collaborate with Data Scientists and Analysts to operationalize analytical and machine learning models by building feature engineering pipelines, deploying models, and monitoring performance and data drift.
- Evaluate, select, implement, and manage underlying data infrastructure and tooling (e.g., Airflow, streaming platforms, cloud services, computation engines) for efficient manufacturing data processing and analytics.
- Identify and resolve data-related issues, pipeline failures, and performance bottlenecks. Optimize data processing and queries for efficiency, reduced latency, and cost management.
- Leverage AI, ML, and RPA applications and technologies to automate processes, improve business efficiency, and support advanced data initiatives.
- Serve as a technical expert, collaborating with OT, IT, production, engineering, and data consumption teams to understand data requirements, provide solutions, and ensure data availability and reliability.
You are our ideal candidate if you have:
- A Bachelor's degree in Data Analytics, Computer Science, Data Science, Information Technology, or a related discipline.
- A minimum of 2 years of hands‑on experience with business intelligence tools for data analysis and processing, such as Data Studio, Tableau, Domo, and Sigma.
- Proficiency in programming languages like SQL, Python, or R, and cloud BI tools such as Domo.
- Strong interpersonal skills, including communication, collaboration, and problem‑solving.
- A strong grasp of supply chain principles, including production planning, inventory, logistics, procurement, and quality management. Understanding their interaction within the supply chain is essential for data analysis and process optimization.
- A proactive mindset with the ability to seek out and adapt to new technologies.
Why work with us?
- Time to Recharge: Up to 17 days of annual leave and dedicated care days to prioritize your mental health and work‑life balance.
- Total Well‑being: A competitive Colgate Care package and comprehensive annual check‑ups to keep you feeling 100%.
- Make an Impact: Don't just work—create change. Get recognized globally through our "You Can Make a Difference" awards.
- Squad & Perks: Exclusive employee discounts on our products, plus bonuses for referring your talented friends to the team.
- Community & Support: Life happens, and we’re here for it. We back our team with milestone celebrations, support during tough times, and rewards for sticking with us.
Our Commitment to Inclusion
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.
Equal Opportunity 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.#LI-On-site
Yêu cầu kinh nghiệm
Bachelor's degree in data analytics, computer science, data science, IT or related; 2+ years BI tools experience; SQL, Python or R; supply chain knowledge; strong communication and problem-solving.