Senior Business Analytics Analyst

Senior Analyst, Business Analytics

Relocation Assistance Offered Within Country
Job Number #173563 - Mumbai, Maharashtra, India

Who We Are

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 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.

Title: Senior Analyst, Business Analytics

 

Job Summary:

The candidate will support the Colgate Business Teams in Finance Analytics and Insights functions across the globe. The role requires a person to have understanding of majorly Internal & somewhat external data and ability to provide Insights based Services & solutions.

The Person should have abilities to build insights from large Internal datasets. An Analytical problem solver with focus on Business Intelligence and Insights. Ability to work in a collaborative and stakeholder focused (proactive and Responsive to Business needs) . Excellent Written and verbal communication skills.

 

 

Main Responsibilities:

• Explores novel data sources and proactively identifies high-value data sources (both, internal and external) aligned and needed for the team’s use cases and strategy. Develop technical strategies for data acquisition, storage, and governance.
• Provides clean, transformed data ready for analysis
• Applies  software engineering best practices to analytics code (version control, testing, continuous integration,...)
• Maintains data documentation & definitions
• Supports Data Scientist and Data Analyst by applying transformations for ML models on datasets
• Partners with Data Engineers to implement and establish the right data and systems for Finance Analytics
• Assist with data-related technical issues and support their data infrastructure needs
• You will work on data initiatives and ensure efficient data delivery architecture is consistent throughout ongoing projects.
• Work with data and analytics colleagues and partners to strive for greater functionality in our data systems
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
• Build and maintain efficient data pipeline architecture in cloud environment
• Stay abreast of current best-practices in the data engineering community and promote best-practices within CP
   

 

 

Required Qualifications:

• Bachelor’s degree, Graduate degree in Computer Science/ Technology/ Engineering/ Mathematics, Informatics, Information Systems or another quantitative field
• 2-3+ years of experience working on data pipeline
• Working knowledge of Google Big Query, Google Cloud Platform, Snowflake, Airflow, GitHub (Either), Iceberg, Spark, or cloud-based analytics platforms.
• Knowledge of Programming languages Python, R, SQL(SQL mandatory)
• Intermediate knowledge of Excel / Google Sheet (i.e., standard functions – aggregation, pivots, look ups, etc.)
• High level of proficiency with SQL working with relational databases, query authoring as well as working familiarity with a variety of databases.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement
• High level of comfort with large sets of internal and external data and attend to detail s and penchant for accuracy
• Ability to prioritize multiple work assignments and meet timelines
• Experience with Data Flow, Data Pipeline and workflow management tools in cloud environments (GCP, Snowflake etc.) , GITHUB
• Strong understanding of statistical analysis, machine learning algorithms, and data visualization techniques.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Functional Competencies (Analytics) such as Descriptive Analytics: Visualization tools (Sigma, Tableau), Data cleansing, Mining, Exploratory data analysis & insights.
• Analytics Problem Solving
• Business Partnering
   

 

 

Preferred Qualifications:

• Experience with data mining, natural language processing, or deep learning techniques.
• Certification in data analytics or machine learning.
• Basic proficiency of data visualization techniques & tools - Experience with dashboarding tools (Google Data Studio, Tableau, DOMO, Sigma etc.)
• High level of comfort with large sets of internal and external data and attend to details and penchant for accuracy
• Good facilitation and project management skills
• Understanding of Colgate’s processes, and tools supporting analytics (for internal candidates)
• Willingness and ability to experiment with new tools and techniques

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, colour, 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-Hybrid

Experience Level

Senior Level