Remote ML Data Analyst — Transform Insights with SQL/Python

Ryz Labs; Santa Fe Capital; Remote; ARS 61,494,000 - 107,614,000; Full time

Job summary

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based client's team. The role focuses on turning large-scale consumer and retail data into actionable metrics, combining SQL and Python skills with strong business storytelling for English-speaking stakeholders.

Open to recent graduates and mid-level analysts, the position emphasizes data manipulation, model-building, and clear reporting to drive business insights in a remote LATAM setting.

Qualifications

• 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles. Entry-level candidates welcome.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including complex JOIN logic and CASE WHEN.
• Python scripting for data cleaning, manipulation, and processing, with proficiency in pandas.
• Familiarity with modeling libraries such as scikit-learn or statsmodels.
• Experience working with messy text fields: cleaning, parsing, and pattern matching.
• Solid understanding of relational database design, including keys and normalization.
• Bachelor's degree in a related field with coursework covering database management or quantitative data analysis.

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 matching models to uncover deeper consumer behaviors and forecast trends.
• Slice, unpivot, and aggregate raw transactional data to calculate core business metrics such as household penetration, market share, and purchasing trends.
• Build and maintain clean, structured data tables and views that feed into recurring tracking reports and stakeholder dashboards.
• Review query outputs, perform data audits, and double-check logic to ensure accuracy and data integrity before insights are finalized.
• Use conditional logic and filtering techniques to segment data and isolate specific tracking cohorts.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical data structures and query results into clear written summaries for stakeholders in English.

Skills

SQL

Python scripting

English communication

Data interpretation

Analytical thinking

Data storytelling

Education

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

Tools

Pandas

Scikit-learn

Statsmodels

Snowflake/BigQuery/Redshift

Job description

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based client's team. The role focuses on turning large-scale consumer and retail data into actionable metrics, combining SQL and Python skills with strong business storytelling for English-speaking stakeholders.

Open to recent graduates and mid-level analysts, the position emphasizes data manipulation, model-building, and clear reporting to drive business insights in a remote LATAM setting.