Remote FMCG Consumer Insights Data Analyst

Hp; México; À distance; MXN 420 000 - 620 000; Plein temps

Résumé du poste

Hp is seeking a Data Analyst specializing in Consumer Insights for a fully remote role in the FMCG sector. You will collect, clean, analyze, and interpret large datasets on consumer behavior, purchase patterns, and market trends to drive actionable recommendations across marketing, product, and sales.

The ideal candidate has a strong foundation in statistics, experience with SQL, and a proven ability to translate complex data into clear business insights.

Qualifications

• Bachelor's degree in a quantitative field is required.
• 4+ years of experience in data analysis, preferably consumer insights or FMCG.
• Proficiency in SQL for data extraction and manipulation is essential.

Responsabilités

• Collect, clean, and process datasets related to consumer behavior, sales, and market performance.
• Perform in-depth statistical analysis to identify trends and correlations.
• Develop and maintain dashboards and reports to visualize insights.
• Translate data findings into actionable recommendations for marketing, product, and sales.
• Conduct A/B testing and other experiments to measure marketing impact.
• Use SQL and other data querying languages to extract data from sources.
• Stay updated on data analysis techniques and tools relevant to consumer insights.
• Collaborate with cross-functional teams in a remote setting and present findings.
• Ensure data integrity and accuracy throughout the analysis process.
• Contribute to development of predictive models for consumer behavior and forecasting.

Connaissances

SQL

Statistical analysis

Data manipulation

Dashboards

A/B testing

Formation

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or related field

Description du poste

Hp is seeking a Data Analyst specializing in Consumer Insights for a fully remote role in the FMCG sector. You will collect, clean, analyze, and interpret large datasets on consumer behavior, purchase patterns, and market trends to drive actionable recommendations across marketing, product, and sales.

The ideal candidate has a strong foundation in statistics, experience with SQL, and a proven ability to translate complex data into clear business insights.