Master Data Analytics Engineer

Colgate-Palmolive; Piscataway Township (NJ); On-site; USD 94,000 - 133,000; Full time

Job summary

A leading global consumer products company seeks a Master Data Analytics Engineer to join their team in Piscataway, NJ. This role focuses on developing high-quality master data solutions and requires expertise in Snowflake and analytical skills. Ideal candidates will have a Bachelor's degree and relevant experience in data analytics and modeling.

Benefits

Comprehensive medical benefits

Paid parental leave

401(k) retirement plan with company matching

Minimum of 15 vacation days

Paid sick leave based on role and location

Qualifications

• 3+ years of experience in data analytics roles.
• Experience with data modeling and ETL/ELT processes.
• Familiarity with version control and CI/CD processes.

Responsibilities

• Develop, maintain, and enhance master data assets.
• Transform raw master data into analytics-ready datasets.
• Collaborate cross-functionally to improve master data analytics capabilities.

Skills

Python

SQL

Analytical skills

Education

Bachelor's degree in Computer Science, Information Technology, Engineering

Tools

Snowflake

DBT

Job description

Join to apply for the Master Data Analytics Engineer role at Colgate-Palmolive

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This range is provided by Colgate-Palmolive. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$94,000.00/yr - $133,000.00/yr

No Relocation Assistance Offered

Job Number #167402 - Piscataway, New Jersey, 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.

Colgate-Palmolive, a global leader in consumer products, is looking for a talented Analytics Engineer focused on Master Data to join our innovative Global IT Data Platforms team. As a key member within our technical Master Data Management (MDM) group, you will design, develop, and operationalize high-quality, scalable master data solutions. Your work will play a pivotal role in delivering trusted, analytics-ready data to fuel Colgate’s worldwide analytics, digital transformation, and business growth initiatives.

This position is based out of Piscataway, NJ location. Work visa sponsorship not available for this position.

What You Will Do

• Develop, maintain, and enhance master data assets for enterprise-wide consumption using the CP Enterprise Data Platform on Snowflake.
• Apply data modeling best practices to create and maintain scalable, maintainable data models on Snowflake (using SQL, Python, DBT, or similar tools).
• Transform raw master data into analytics-ready datasets through robust ETL/ELT pipelines, data modeling, and documentation to enable business intelligence, advanced analytics, and self-service initiatives.
• Design, implement, and optimize technical data governance and analytics solutions that serve end-to-end business processes and data domains.
• Manage a centralized and reliable data repository to ensure consistent, standardized, and accurate master data (Product, Vendor, Customer) across systems and analytics use cases.
• Ensure high data quality, governance, and compliance with company standards and best practices throughout the master data lifecycle.
• Provide day-to-day support for solution delivery, ongoing operations, and application management.
• Collaborate cross-functionally to gather requirements, troubleshoot data issues, and continuously improve master data analytics capabilities.
  
  

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3+ years of experience
• Proven hands-on experience with Snowflake and DBT for data warehousing, data modeling, and analytics pipeline development.
• Strong Python, SQL, and analytical skills; experience building analytics datasets and pipelines (ETL/ELT) with large, complex data.
• Familiarity with version control and CI/CD processes (e.g., GitHub, GitHub Actions).
• Exposure to data modeling techniques (star/snowflake schema), modern data architectures, data curation, and advanced ETL practices.
  
  

Preferred Qualifications

• Extensive hands-on experience with Snowflake, DBT, Airflow, GCP, Atlan, Sigma, Domo
• Familiarity with SAP ERP environments and SAP MDG (Master Data Governance)
• Proficient in data modeling for SAP and master data structures
• Knowledge of additional object-oriented programming languages
• Excellent problem-solving, communication, and team collaboration skills.
• Ability and eagerness to quickly learn and master new technologies and analytics tools.
  
  

Compensation And Benefits

Salary Range $94,000.00 - $133,000.00 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 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.

For additional Colgate terms and conditions, please click here.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Manufacturing

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