166 Data Management Tools jobs in Mumbai

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Job Number # - 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: 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 :

• Bachelor’s or Master’s 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 SIgma,Tableau, 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 Colgate’s 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 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

Responsibilities

• Analyze and validate the data content of files to be ingested.
• Ensure data integrity and accuracy during the data ingestion process.
• Collaborate with cross-functional teams to understand data requirements and business needs.
• Develop and implement data validation and quality control processes.
• Identify and resolve data discrepancies and inconsistencies.
• Create and maintain documentation related to data analysis and ingestion processes.
• Generate reports and provide insights based on data analysis.
• Assist in the development and maintenance of data management systems.

Requirements

• Bachelor's degree in health informatics, Statistics, Mathematics, Computer Science, or a related field.
• Healthcare experience mandatory.
• A minimum of 4 years of experience in data analysis and data management.
• Proficiency in SQL and data analysis tools (e.g., SAS, R, Python).
• Strong understanding of healthcare data and healthcare payer systems.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Effective communication skills, both written and verbal.
• Ability to work independently and as part of a team.
• Experience with Extract, Transform, Load (ETL) processes.
• Knowledge of healthcare regulations and compliance standards (e.g., HIPAA).
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience in project management and leading data-related projects.

Responsibilities

• Analyze and validate the data content of files to be ingested.
• Ensure data integrity and accuracy during the data ingestion process.
• Collaborate with cross-functional teams to understand data requirements and business needs.
• Develop and implement data validation and quality control processes.
• Identify and resolve data discrepancies and inconsistencies.
• Create and maintain documentation related to data analysis and ingestion processes.
• Generate reports and provide insights based on data analysis.
• Assist in the development and maintenance of data management systems.

Requirements

• Bachelor's degree in health informatics, Statistics, Mathematics, Computer Science, or a related field.
• Healthcare experience mandatory.
• A minimum of 4 years of experience in data analysis and data management.
• Proficiency in SQL and data analysis tools (e.g., SAS, R, Python).
• Strong understanding of healthcare data and healthcare payer systems.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Effective communication skills, both written and verbal.
• Ability to work independently and as part of a team.
• Experience with Extract, Transform, Load (ETL) processes.
• Knowledge of healthcare regulations and compliance standards (e.g., HIPAA).
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience in project management and leading data-related projects.

• Analyze and interpret large-scale geological and geophysical datasets.
• Develop and implement advanced data processing and analysis workflows.
• Create sophisticated data visualizations and geological models.
• Extract actionable insights to support exploration and resource assessment.
• Collaborate with multidisciplinary scientific and engineering teams.
• Develop and apply predictive modeling techniques.
• Assess subsurface geological risks and opportunities.
• Ensure data quality, integrity, and accuracy.
• Communicate complex technical findings to diverse audiences.
• Contribute to the advancement of analytical methods in geoscience.

• Master's degree in Geosciences, Geophysics, Data Science, or a related field. Ph.D. preferred.
• 7+ years of experience in geological or geophysical data analysis.
• Strong proficiency in programming languages such as Python or R for data analysis.
• Experience with geological modeling software and GIS tools.
• In-depth knowledge of statistical analysis and machine learning techniques.
• Familiarity with seismic data processing and interpretation is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation abilities.
• Proven ability to work effectively in a collaborative team environment.

We're hiring

Designation: MIS Executive/Data Analysis Executive

Location: Mumbai

Salary: LPA

Key Requirements:

Strong knowledge of Advanced Excel

Analytical mindset

Experience in MIS reporting & dashboards preferred but freshers can also apply

Responsibilities:

Prepare and maintain periodic MIS reports

Consolidate and analyze data from multiple sources with accuracy

Create and manager operational dashboards across business verticals

Support management with data requirements and data-driven insights

If you enjoy working with data to drive business outcomes, wed love to hear from you.

• Analyze large datasets related to soil properties, environmental conditions, and crop performance.
• Develop and implement statistical models and machine learning algorithms for soil data analysis.
• Interpret soil test results and provide actionable recommendations for fertilizer management, crop rotation, and soil remediation.
• Conduct research on soil fertility, nutrient dynamics, and soil health indicators.
• Collaborate with field agronomists, researchers, and farm managers to integrate data insights into practical applications.
• Develop and maintain databases for soil information and agricultural data.
• Prepare comprehensive reports, technical documents, and scientific publications.
• Stay current with advancements in soil science, data analytics, and agricultural technology.
• Mentor junior soil scientists and data analysts in a remote work environment.
• Contribute to the development of precision agriculture tools and strategies.

• Master's or Ph.D. in Soil Science, Agronomy, Environmental Science, or a related field with a focus on data analysis.
• Minimum of 7 years of experience in soil science and data analysis, with at least 4 years specifically in agricultural data interpretation.
• Proficiency in statistical software (e.g., R, SAS, SPSS) and data visualization tools.
• Experience with machine learning techniques and their application in agriculture.
• Strong understanding of soil chemistry, physics, and biology.
• Familiarity with agricultural data management systems and platforms.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills, with the ability to convey complex findings effectively.
• Proven ability to work independently and manage projects in a remote setting.
• Commitment to promoting sustainable agricultural practices.

• Develop and implement remote sensing strategies for geotechnical monitoring and hazard assessment in mining operations.
• Process and analyze large datasets from various remote sensing platforms (e.g., drones, satellites, airborne surveys) to identify geological features and potential instabilities.
• Apply advanced geotechnical principles to interpret remote sensing data and geological models.
• Conduct detailed stability analyses for slopes, open pits, and underground excavations using integrated data sources.
• Develop and maintain 3D geological and geotechnical models incorporating remote sensing inputs.
• Create visualizations and reports to communicate complex findings to both technical and non-technical stakeholders.
• Collaborate with site-based engineers and geologists to validate remote sensing findings and inform operational decisions.
• Research and evaluate new technologies and methodologies in remote sensing and geotechnical data analysis.
• Manage projects related to geotechnical data acquisition and analysis, ensuring timely and accurate delivery.
• Contribute to the development of best practices and standards for geotechnical monitoring and data management within the organization.
• Provide technical guidance and mentorship to junior engineers and geoscientists.
• Ensure data integrity, quality control, and data management best practices are followed.
• Prepare technical documentation, proposals, and presentations for internal and external audiences.
• Stay abreast of industry trends and advancements in geotechnical engineering and remote sensing.

• Master's or Ph.D. in Geotechnical Engineering, Geological Engineering, or a closely related field.
• Minimum of 8 years of progressive experience in geotechnical engineering, with a strong emphasis on the application of remote sensing and GIS in the mining industry.
• Demonstrated expertise in processing and analyzing data from LiDAR, InSAR, photogrammetry, and satellite imagery.
• Proficiency in relevant software such as ArcGIS, QGIS, ENVI, ERDAS Imagine, MATLAB, Python (for data analysis and scripting), and geotechnical modeling software (e.g., Rocscience suite, FLAC).
• In-depth understanding of geological principles, rock mechanics, soil mechanics, and slope stability analysis.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to convey complex technical information clearly.
• Experience working effectively in a remote team environment.
• Ability to manage multiple projects simultaneously and meet deadlines.
• Professional Engineer (PE) or equivalent international certification is a plus.