Remote ML Data Analyst | SQL & Python

Muttdata; La Pampa; Remote; ARS 92,241,000 - 138,361,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote

Work with real consumer and market dat

Collaborate with international teams

Develop expertise in SQL, Python, ML

Job summary

Prometeo Talent is recruiting for a Data Analyst (Machine Learning) to join our client's global team. The role focuses on turning large-scale consumer and retail data into actionable metrics, using SQL and Python to build ML and statistical models.

The ideal candidate balances strong technical skills with business acumen, and can translate results into clear English summaries for stakeholders. Remote work from LATAM is supported.

Qualifications

• 0 to 4 years of experience in Data Analysis or similar roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including complex JOIN logic, standard aggregations, 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 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 run 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

Advanced English

SQL

Python

Pandas

Scikit-learn

Statsmodels

Text data processing

Relational DB design

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 recruiting for a Data Analyst (Machine Learning) to join our client's global team. The role focuses on turning large-scale consumer and retail data into actionable metrics, using SQL and Python to build ML and statistical models.

The ideal candidate balances strong technical skills with business acumen, and can translate results into clear English summaries for stakeholders. Remote work from LATAM is supported.