Remote ML Data Analyst: SQL & Python for Insights

Virtualent; Santa Fe Capital; Remote; ARS 52,946,000 - 127,071,000; Full time

Benefits offered by this job

10 days PTO

USA holidays

Remote work

Job summary

Virtualent is seeking a Machine Learning Analyst for a 100% remote LATAM role. You will work with large-scale consumer and retail data, turning raw data into actionable metrics and translating results for stakeholders in English.

You will use SQL and Python to extract data, build models, and deliver recurring dashboards. The position welcomes recent graduates through mid-level analysts with a strong quantitative background.

Qualifications

• 0–4 years of experience in Data Analysis or similar roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills with complex joins.
• Python for data cleaning and processing, proficiency in pandas.
• Experience with ML, predictive, or statistical modeling libraries.
• Experience handling messy text data and data normalization principles.
• Bachelor's degree in a quantitative field with data analysis coursework.

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.

Skills

SQL

Python (pandas)

English (written/spoken)

Data analysis

Education

Bachelor's degree in related field

Tools

Snowflake/BigQuery/Redshift

Job description

Virtualent is seeking a Machine Learning Analyst for a 100% remote LATAM role. You will work with large-scale consumer and retail data, turning raw data into actionable metrics and translating results for stakeholders in English.

You will use SQL and Python to extract data, build models, and deliver recurring dashboards. The position welcomes recent graduates through mid-level analysts with a strong quantitative background.