Remote ML Data Analyst for Market Insights

Prometeo Talent

Ciudad de Mendoza

Remote

ARS 75,728,000 - 121,164,000

Full time

38 hours ago
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Benefits offered by this job

Remote role
Competitive compensation
High-visibility role

Job summary

Prometeo Talent is partnering with a U.S.-based company specializing in marketing effectiveness measurement. They seek a Data Analyst (Machine Learning) to join their global team and work with large-scale consumer and retail datasets.

The role emphasizes SQL and Python, building ML or statistical models, and translating outputs into clear summaries for English-speaking stakeholders. Open to recent graduates through mid-level analysts.

Qualifications

  • Advanced SQL and data manipulation skills.
  • Experience with Python for data cleaning and processing, including pandas.
  • Familiarity with ML libraries (scikit-learn/statsmodels) and modeling concepts.
  • Ability to clean, parse, and analyze messy text fields.

Responsibilities

  • Write, optimize, and run SQL to extract data from relational and cloud warehouses.
  • Develop and validate machine learning, predictive, or statistical models to uncover consumer insights.
  • Compute core metrics like market share, penetration, and trends from large datasets.
  • Build clean data tables and dashboards feeding recurring reports.
  • Audit outputs and ensure data integrity before insights are shared.
  • Segment data with conditional logic to isolate cohorts.
  • Translate results into clear summaries for English-speaking stakeholders.

Skills

SQL
Python/pandas
English
Data wrangling
Data visualization

Education

Bachelor's degree (Business Analytics/Statistics/Math/CS/Economics)

Tools

Snowflake
BigQuery
Redshift

Job description

Prometeo Talent is partnering with a U.S.-based company specializing in marketing effectiveness measurement. They seek a Data Analyst (Machine Learning) to join their global team and work with large-scale consumer and retail datasets.

The role emphasizes SQL and Python, building ML or statistical models, and translating outputs into clear summaries for English-speaking stakeholders. Open to recent graduates through mid-level analysts.

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