Remote Data Analyst (ML & SQL)

Corteva Agriscience

Ciudad de Mendoza

Remote

ARS 92,724,000 - 139,086,000

Full time

7 days ago
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Benefits offered by this job

PTO 10 days
USA holidays
100% remote

Job summary

Prometeo Talent is partnering with a U.S.-based client to hire a Data Analyst (Machine Learning) who can translate large-scale consumer data into actionable insights. The role emphasizes SQL, Python, and clear communication in English.

You will work with SQL queries, ML models, data tables, and dashboards, turning raw data into metrics like market trends and consumer behavior. Open to recent graduates to mid-level analysts with strong quantitative backgrounds.

Qualifications

  • Proficient SQL for data extraction and transformations.
  • Python scripting for data cleaning and feature engineering (pandas).
  • Fluent written and spoken English.
  • Strong foundation in data analysis and statistics.

Responsibilities

  • Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
  • Develop, run, and validate machine learning, predictive, or statistical models.
  • Slice and aggregate raw data to compute core metrics like market share and consumer trends.
  • Build and maintain clean data tables and dashboards feeding reports for stakeholders.
  • Review outputs, perform data audits, and ensure data integrity before insights is shared.
  • Use filtering to segment data and define tracking cohorts.
  • Parse and categorize unstructured text data.
  • Translate technical results into clear written summaries for English-speaking stakeholders.

Skills

SQL
Python
English
Data analysis

Education

Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or related field

Tools

Pandas
scikit-learn
Statsmodels

Job description

Prometeo Talent is partnering with a U.S.-based client to hire a Data Analyst (Machine Learning) who can translate large-scale consumer data into actionable insights. The role emphasizes SQL, Python, and clear communication in English.

You will work with SQL queries, ML models, data tables, and dashboards, turning raw data into metrics like market trends and consumer behavior. Open to recent graduates to mid-level analysts with strong quantitative backgrounds.

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