Tax Analyst: Iva, Isr & Diot

Bluescopenac; Apodaca; Remote; MXN 250,000 - 380,000; Full time

Job summary

Bluescopenac in Mexico is seeking a Data Analyst specialized in Consumer Insights for a fully remote role. You will collect, clean, and analyze large datasets on consumer behavior, purchase patterns, and market trends to uncover actionable insights.

The ideal candidate has strong analytical and statistical skills, proficiency with data manipulation tools, and the ability to translate complex data into clear recommendations for FMCG strategies.

Job description

Data Analyst - Consumer Insights (Remote)

Our client, a leading innovator in the consumer packaged goods (FMCG) industry, is seeking a talented Data Analyst specializing in Consumer Insights to join their fully remote team. This role is integral to understanding our customer base and driving data-informed strategies across the organization. You will be responsible for collecting, cleaning, analyzing, and interpreting large datasets related to consumer behavior, purchase patterns, and market trends to uncover actionable insights. The ideal candidate possesses strong analytical and statistical skills, proficiency in data manipulation tools, and a passion for translating complex data into clear, concise recommendations for the FMCG market. This is an exceptional opportunity to contribute to strategic decision-making from anywhere, shaping how our client connects with and serves its consumers.

Our client, a leading innovator in the consumer packaged goods (FMCG) industry, is seeking a talented Data Analyst specializing in Consumer Insights to join their fully remote team. This role is integral to understanding our customer base and driving data-informed strategies across the organization. You will be responsible for collecting, cleaning, analyzing, and interpreting large datasets related to consumer behavior, purchase patterns, and market trends to uncover actionable insights. The ideal candidate possesses strong analytical and statistical skills, proficiency in data manipulation tools, and a passion for translating complex data into clear, concise recommendations for the