Remote Consumer Insights Data Analyst (FMCG)

Segula Technologies

México

Remote

MXN 350,000 - 520,000

Full time

2 days ago
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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

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.

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