Remote FMCG Consumer Insights Data Analyst

Colgate Palmolive; Tijuana; Remote; MXN 420,000 - 540,000; Full time

Job summary

Colgate Palmolive is seeking a Data Analyst specializing in Consumer Insights for a fully remote role. You will collect, clean, analyze, and interpret large datasets on consumer behavior, purchase patterns, and market trends to uncover actionable insights for FMCG products.

The ideal candidate has strong analytical skills, proficiency in SQL and data visualization tools, and the ability to translate complex data into clear recommendations for marketing, product development, and sales teams.

Qualifications

• Bachelor's degree in statistics, mathematics, economics, CS, or data science.
• Minimum 4 years as Data Analyst, preferably in FMCG.
• Proficient in SQL and data visualization tools.

Responsibilities

• Collect, clean, and process datasets on consumer behavior, sales and market performance.
• Perform statistical analysis to identify trends and correlations.
• Develop dashboards and reports to visualize insights and track metrics.
• Translate findings into actionable recommendations for marketing, product and sales teams.
• Conduct A/B tests and experimentation to measure impact.
• Use SQL to extract data from multiple sources.
• Collaborate with cross‑functional teams in a remote setting.
• Ensure data integrity and accuracy throughout analysis.
• Contribute to predictive models for consumer behavior and forecasting.

Skills

SQL

Python

R

Tableau

Power BI

Education

Bachelor's degree in quantitative field

Tools

SQL

Python

R

Tableau

Power BI

Job description

Colgate Palmolive is seeking a Data Analyst specializing in Consumer Insights for a fully remote role. You will collect, clean, analyze, and interpret large datasets on consumer behavior, purchase patterns, and market trends to uncover actionable insights for FMCG products.

The ideal candidate has strong analytical skills, proficiency in SQL and data visualization tools, and the ability to translate complex data into clear recommendations for marketing, product development, and sales teams.