Remote ML Data Analyst: Insights & Modeling

Fullstack; Tandil; Remote; ARS 64,907,000 - 101,997,000; Full time

Job summary

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a US-based marketing analytics client. You will work with SQL, Python, and large-scale datasets to produce actionable metrics and insights for business stakeholders in English.

The role is 100% remote across LATAM, suited for recent graduates to mid-level analysts, focusing on turning complex data into clear summaries and dashboards and collaborating with international teams.

Qualifications

• 0–4 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 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

English

SQL

Python (pandas)

ML modeling (scikit-learn)

Text data processing

Relational DB design

Education

Bachelor's degree in Business Analytics, Statistics, Mathematics, CS, Economics, Marketing, or related

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a US-based marketing analytics client. You will work with SQL, Python, and large-scale datasets to produce actionable metrics and insights for business stakeholders in English.

The role is 100% remote across LATAM, suited for recent graduates to mid-level analysts, focusing on turning complex data into clear summaries and dashboards and collaborating with international teams.