Sr. Analyst, Data Architecture
Sr. Analyst, Data Architecture
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Job Description
Relocation Assistance Offered Within Country
Job Number#168159 - 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 valuesCaring Inclusive and Courageouswe foster a culture that inspires our people to achieve common goals. Together lets build a brighter healthier future for all.
Title: Sr. Analyst Data Architecture
Brief introduction - Role Summary/Purpose :
- The candidate will collaborate with Colgate Business teams and CBS Analytics to identify and develop high-impact use cases utilizing Prompt Engineering.
- This position requires a strong foundation in Artificial Intelligence Machine Learning and Generative AI.
- The ideal candidate is an analytical problem solver skilled at working with large data sets demonstrates a collaborative and customer-centric approach (proactive and responsive to business needs) and possesses strong written and verbal communication abilities. Additionally the candidate should have a passion for continuous learning and driving innovation to unlock new business opportunities.
Responsibilities :
Design develop and refine AI-generated text prompts for various applications
Collaborate with content creators product teams and data scientists to ensure prompt alignment with company goals and user needs
Monitor and analyze prompt performance to identify areas for improvement
Optimize AI prompt generation process to enhance overall system performance
Stay up-to-date on the latest advancements in AI natural language processing and machine learning
Provide support to teams in understanding prompt engineering best practices
Required Qualifications :
Bachelors or Masters degree in Computer Science Data Science Engineering or a related field
1 Year of Experience with prompt engineering for large language models (LLMs) including Gemini GPT Llama and Claude is preferred
Comprehensive understanding of Artificial Intelligence Machine Learning and generative AI platforms
Knowledge of Data Transformation tools - R/Python/ SQL/DBT/Cloud solutions ( GCP/Snowflake )
Working knowledge of visualization tools like SIgmaTableau DOMO Data studio
Ability to Read Analyze and Visualize data
Effective Verbal & Written Communication for Business engagement
Preferred Qualifications:
Excellent problem-solving and analytical skills
Ability to collaborate effectively with cross-functional teams
Working knowledge of consumer packaged goods industry
Understanding of Colgates processes and tools supporting analytics (for internal candidates)
Willingness and ability to experiment with new tools and techniques
Good facilitation and project management skills
Our Commitment to Inclusion
Our journey begins with our peopledeveloping 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
Required Experience:
Senior IC
Employment Type
Full Time
