Remote ML Analyst — Python, SQL & Marketing Analytics

Fullstack; Ciudad de Mendoza; Remote; ARS 92,241,000 - 138,361,000; Full time

Benefits offered by this job

10 days PTO

USA holidays

100% remote

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client’s global team. This role emphasizes data-driven insights from large-scale consumer and retail datasets, bridging complex databases and business strategy.

The ideal candidate blends solid SQL and Python skills with a strong numbers sense, translating results into clear summaries for stakeholders in English. The position welcomes a range of experience levels, from graduates to mid-level analysts.

Qualifications

• 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles.
• Advanced English—written and spoken.
• Foundational to intermediate SQL skills with JOIN logic, aggregations, and CASE WHEN.
• Python for data cleaning, manipulation, and processing with pandas.
• Familiar with modeling libraries such as scikit-learn or statsmodels.
• Experience working with messy text fields: cleaning, parsing, filtering.
• Relational database design understanding: keys and normalization.

Responsibilities

• Write, optimize, and execute SQL queries from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning, predictive, or statistical matching models.
• Slice, unpivot, and aggregate raw data to calculate core business metrics.
• Build and maintain clean data tables and views for dashboards.
• Review query outputs and perform data audits for accuracy.
• Use conditional logic to segment data and isolate tracking cohorts.
• Parse and categorize unstructured text data.
• Translate technical results into clear summaries for stakeholders in English.

Skills

SQL

Python

Pandas

English proficiency

Education

Bachelor's degree in a relevant field

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client’s global team. This role emphasizes data-driven insights from large-scale consumer and retail datasets, bridging complex databases and business strategy.

The ideal candidate blends solid SQL and Python skills with a strong numbers sense, translating results into clear summaries for stakeholders in English. The position welcomes a range of experience levels, from graduates to mid-level analysts.