Senior ML Data Analyst — Remote, Data-Driven Impact

Caramel Point; La Pampa; Remote; ARS 83,301,000 - 136,310,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote work

Job summary

Prometeo Talent is seeking a Machine Learning Analyst for a remote LATAM role with a US-based client in marketing effectiveness measurement. The role focuses on translating large-scale consumer data into actionable metrics using SQL and Python.

The candidate should be comfortable with English communication and cross-functional collaboration. Ideal for recent graduates with quantitative coursework or mid-level analysts seeking to deepen data manipulation and ML skills.

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, aggregations and CASE WHEN logic.
• Python scripting for data cleaning and processing, with proficiency in pandas.

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 models to uncover consumer behaviors and forecast trends.
• Slice, unpivot, and aggregate raw data to calculate core business metrics such as market share and purchasing trends.
• Build and maintain clean data tables and views feeding dashboards and recurring reports.
• Review outputs, perform data audits, and ensure data integrity before insights are shared.
• Translate technical results into clear written summaries for stakeholders in English.

Skills

Advanced English

SQL

Python (pandas)

Data analysis

Relational databases

Education

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

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Machine Learning Analyst for a remote LATAM role with a US-based client in marketing effectiveness measurement. The role focuses on translating large-scale consumer data into actionable metrics using SQL and Python.

The candidate should be comfortable with English communication and cross-functional collaboration. Ideal for recent graduates with quantitative coursework or mid-level analysts seeking to deepen data manipulation and ML skills.