Ee Quality Engineer: Data Mining & Field Reliability

Segula Technologies; México; Remote; MXN 350,000 - 520,000; Full time

Job summary

Segula Technologies seeks a Data Analyst specializing in Consumer Insights for a fully remote role. You will collect, clean, and analyze datasets on consumer behavior and market trends to uncover actionable FMCG insights.

The ideal candidate has solid statistical skills, SQL proficiency, and experience with Python or R and dashboards in Tableau or Power BI. You will translate findings into practical recommendations for marketing, product, and sales, collaborating remotely.

Qualifications

• Bachelor's degree in a quantitative field.
• 4+ years as a Data Analyst, preferably in FMCG.
• Proficient in SQL for data extraction.
• Strong experience with Python or R and data libraries (Pandas, NumPy, SciPy).
• Experience with Tableau or Power BI for dashboards.
• Excellent communication and ability to work remotely.

Responsibilities

• Collect, clean, and process datasets on consumer behavior and market trends.
• Perform statistical analyses to identify trends and correlations.
• Develop dashboards and reports to visualize insights.
• Translate findings into actionable recommendations for marketing, product, and sales.
• Collaborate with cross-functional teams in a remote setting.
• Contribute to predictive models for consumer behavior and forecasting.

Skills

SQL

Python

R

Pandas

NumPy

SciPy

Tableau

Power BI

Statistics

Data analysis

Education

Bachelor's degree in a quantitative field

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.

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.