Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising 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 valuesCaring, Inclusive, and Courageouswe foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

Brief introduction - Role Summary/Purpose:

- You will empower our multi-functional teams by Creating advanced analytical solutions that drive data-centric decision making across the entire organization.

- Your primary focus will involve Developing and transforming datasets using the medallion architecture framework to meet diverse business needs.

- By Owning a modern tech stackincluding Snowflake, dbt, Python, and SQLyou will build sophisticated data structures while ensuring all deliverables are effective, sustainable, and thoroughly documented.

- You will collaborate closely with various stakeholders to translate complex requirements into impactful, compliant analytics products.

Responsibilities:

1. Analytics Development

- You will Collaborate with diverse partners to gather needs and produce compliant, sustainable analytics products. This includes Building insightful visualizations through tools like Sigma or Domo.

- By Developing consumption layers with Snowflake, dbt, Python, and SQL,



you will provide the robust data structures necessary for sophisticated business reporting.

- You will ensure all data progression remains high-quality by Following the established medallion architecture framework.

- You will Leverage our core technology stack to deploy pipelines that align with enterprise-wide best practices and standards.

2. Process Optimization and Innovation

- Focus on Optimizing internal workflows by automating repetitive tasks and streamlining how analytics are delivered to the organization.

- You will be responsible for Evaluating modern and emerging technologies to keep our analytics engineering capabilities at the cutting edge.

3. Collaboration and Support

- You will Translate high-level business data strategies into actionable analytics execution through consistent stakeholder engagement.

- Support daily operations by Assisting with technical hurdles related to data access and reporting needs.

- By Cultivating strong relationships across technical and business units, you will work toward shared organizational objectives.

4. Governance and Standards

- Maintain high technical bars by Reviewing peer code and enforcing engineering best practices across all projects.





- You will Uphold rigorous compliance with all enterprise policies and data governance standards.

- Ensure long-term sustainability by Documenting and maintaining critical components within the data ecosystem.

RequiredQualifications :

- Education: Bachelors Degree in Computer Science, Information Technology, Engineering, or a related field.

- Experience: At least 2 years of professional experience as an Analytics Engineer, Data Engineer or related role.

- Business Collaboration: At least 2 years of experience in collaborating with business teams, understanding requirements, and translating them into analytics solutions.

- Technical Proficiency:

- Programming: Experience developing in Python and SQL. Proficiency in dbt (optional)

- Data Warehouses: Experience working with Snowflake (optional)

- Visualization: Experience developing visualizations in Sigma, Tableau, Domo or similar.

- Databases: Experience in interacting with and using databases SQL.

- Version Control: Experience using Git, GitHub, or other version-controlled code management tools.

Preferred Qualifications :

- Monitoring: Experience in application-status monitoring, usage of FinOps tools while modeling and executing analytics workloads.

- Automation: Familiarity with software-automation production systems (GitHub Actions, Selenium, etc.).

- Deployment: Familiarity with code deployment tools.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Analyst, Analytics Engineer (Mumbai)
🏢 Colgate-Palmolive
📍 Mumbai