ML Data Analyst - Remote, Global Impact

Versprite Cybersecurity; Ciudad de Mendoza; Remote; ARS 69,543,000 - 115,905,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote work

Job summary

Prometeo Talent partners with a U.S.-based company to hire a Data Analyst (Machine Learning) for LATAM remote work. The role focuses on turning raw consumer data into actionable metrics using SQL, Python, and ML techniques, with strong English communication to stakeholders.

The ideal candidate blends SQL, Python, and a numbers mindset, capable of translating technical results into clear summaries for diverse teams. Open to recent graduates through mid-level professionals with relevant projects.

Qualifications

• 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles. Entry-level candidates with strong relevant coursework, personal data projects, or internships are welcome, as well as mid-level professionals with a proven track record of querying databases to drive business insights.
• 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 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 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

Data Analysis

Machine Learning

Data Cleaning

Pattern Matching

Text Processing

Education

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

Job description

Prometeo Talent partners with a U.S.-based company to hire a Data Analyst (Machine Learning) for LATAM remote work. The role focuses on turning raw consumer data into actionable metrics using SQL, Python, and ML techniques, with strong English communication to stakeholders.

The ideal candidate blends SQL, Python, and a numbers mindset, capable of translating technical results into clear summaries for diverse teams. Open to recent graduates through mid-level professionals with relevant projects.