Remote ML Data Analyst | SQL, Python & ML Insights

Fullstack; La Pampa; Remote; ARS 900,000 - 1,500,000; Full time

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our US-based client's global team, focusing on large-scale consumer and retail data. You will translate raw data into actionable metrics using SQL, Python, and ML techniques, communicating results clearly in English.

The role suits analytical professionals across experience levels, from new graduates with quantitative coursework to mid-level analysts seeking to deepen data manipulation and modeling skills.

Qualifications

• 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including complex JOIN logic, standard aggregations, and CASE WHEN conditional logic.
• Python scripting for data cleaning, manipulation, and processing, with proficiency in pandas for complex multi-step transformations.
• Familiarity with modeling libraries such as scikit-learn or statsmodels to build and evaluate predictive or statistical matching models.
• Experience working with messy text fields: cleaning, parsing, filtering and pattern matching within string variables.
• Solid understanding of relational database design, including how tables connect, primary/foreign keys, and data normalization.
• Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or 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 or panel 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, bullet points, or data tables for stakeholders in English-speaking environments.

Skills

SQL

Python

English

Data analysis

Data manipulation

Text data

Education

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

Tools

pandas

scikit-learn

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our US-based client's global team, focusing on large-scale consumer and retail data. You will translate raw data into actionable metrics using SQL, Python, and ML techniques, communicating results clearly in English.

The role suits analytical professionals across experience levels, from new graduates with quantitative coursework to mid-level analysts seeking to deepen data manipulation and modeling skills.