Remote ML Data Analyst for Market Insights

EPAM Systems Inc; La Pampa; Remote; ARS 92,724,000 - 139,086,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote

Collaboration with international teams

Job summary

Prometeo Talent is partnering with a U.S.-based company to hire a Data Analyst (Machine Learning) capable of turning large-scale consumer data into actionable metrics. The role is 100% remote and open to a range of experience levels, from recent graduates to mid-level analysts, with strong SQL, Python, and English communication.

You will work on SQL extraction, ML model development, data cleaning, and collaboration with global teams to translate results into clear summaries for stakeholders.

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.
• 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 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

Numbers sense

Education

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

Tools

pandas

scikit-learn

statsmodels

Job description

Prometeo Talent is partnering with a U.S.-based company to hire a Data Analyst (Machine Learning) capable of turning large-scale consumer data into actionable metrics. The role is 100% remote and open to a range of experience levels, from recent graduates to mid-level analysts, with strong SQL, Python, and English communication.

You will work on SQL extraction, ML model development, data cleaning, and collaboration with global teams to translate results into clear summaries for stakeholders.