Remote Machine Learning Data Analyst for Market Insights

Rws; Santa Fe Capital; Remote; ARS 69,181,000 - 115,301,000; Full time

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client team focused on marketing effectiveness measurement. The role involves turning large consumer and retail datasets into actionable metrics using SQL, Python, and ML models.

The position welcomes a range of experience levels, from new grads to mid-level analysts. You will bridge database structures to business strategy, translate results into stakeholder-friendly summaries in English, and contribute to

Qualifications

• Bachelor's degree in a quantitative field with coursework in database management or data analysis.
• Strong SQL and Python skills with ability to manipulate large datasets.
• Experience translating technical results into business insights in English.

Responsibilities

• Write, optimize, and execute SQL queries against relational databases and cloud warehouses.
• Develop and validate machine learning or statistical models to forecast trends.
• Process and aggregate transactional or panel data to compute key metrics.
• Build clean data tables and dashboards feeding recurring reports.
• Review outputs, perform data audits, and ensure data integrity before insights.
• Segment data with conditional logic to identify cohorts and patterns.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical results into clear summaries for English-speaking stakeholders.

Education

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

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client team focused on marketing effectiveness measurement. The role involves turning large consumer and retail datasets into actionable metrics using SQL, Python, and ML models.

The position welcomes a range of experience levels, from new grads to mid-level analysts. You will bridge database structures to business strategy, translate results into stakeholder-friendly summaries in English, and contribute to