Trade Analyst

Ppg Industries; México; Remote; MXN 1,114,000 - 1,672,000; Full time

Job summary

PPG Industries is seeking a Data Analyst specialized in Consumer Insights to join a fully remote team. You will collect, clean, analyze, and interpret large datasets on consumer behavior, purchase patterns, and market trends to uncover actionable insights and support strategic decisions across marketing, product development, and sales.

The ideal candidate has 4+ years of experience, strong statistical skills, and proficiency in SQL, Python, R, and data visualization tools.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 4 years of experience as a Data Analyst, preferably with a focus on consumer insights or FMCG.
• Proficiency in SQL for data extraction and manipulation is essential.
• Strong experience with data analysis and statistical software (R, Python with Pandas, NumPy, SciPy).
• Experience with data visualization tools such as Tableau or Power BI is highly desirable.
• Excellent analytical, problem-solving and communication skills.
• Strong ability to explain technical concepts to non-technical audiences.
• Demonstrated ability to work independently and manage projects remotely.

Responsibilities

• Collect, clean, and process diverse datasets related to consumer behavior, sales, and market performance for FMCG products.
• Perform in-depth statistical analysis to identify trends, patterns, and correlations in consumer data.
• Develop and maintain dashboards and reports to visualize key consumer insights and track performance metrics.
• Translate complex data findings into clear, actionable recommendations for marketing, product development, and sales teams.
• Conduct A/B testing and other experimental analyses to measure marketing initiative impact.
• Utilize SQL and other data querying languages to extract data from various sources.
• Stay abreast of the latest data analysis techniques, tools, and technologies relevant to consumer insights.
• Collaborate effectively with cross-functional teams in a remote setting, presenting findings clearly.
• Ensure data integrity and accuracy throughout the analysis process.
• Contribute to the development of predictive models for consumer behavior and market forecasting.

Skills

SQL for data extraction

Python (Pandas, NumPy, SciPy)

R

Education

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

Tools

Tableau

Power BI

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.

About the Role

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.

Key Responsibilities

• Collect, clean, and process diverse datasets related to consumer behavior, sales, and market performance for our FMCG products.
• Perform in-depth statistical analysis to identify trends, patterns, and correlations in consumer data.
• Develop and maintain dashboards and reports to visualize key consumer insights and track performance metrics.
• Translate complex data findings into clear, actionable recommendations for marketing, product development, and sales teams.
• Conduct A/B testing and other experimental analyses to measure the impact of marketing initiatives.
• Utilize SQL and other data querying languages to extract and manipulate data from various sources.
• Stay abreast of the latest data analysis techniques, tools, and technologies relevant to consumer insights.
• Collaborate effectively with cross-functional teams in a remote setting, presenting findings and insights clearly.
• Ensure data integrity and accuracy throughout the analysis process.
• Contribute to the development of predictive models for consumer behavior and market forecasting.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 4 years of experience as a Data Analyst, preferably with a focus on consumer insights or the FMCG industry.
• Proficiency in SQL for data extraction and manipulation is essential.
• Strong experience with data analysis and statistical software (e.g., R, Python with libraries like Pandas, NumPy, SciPy).
• Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, capable of explaining technical concepts to non-technical audiences.
• Demonstrated ability to work independently and manage projects effectively in a remote environment.
• Understanding of <