ML Data Analyst (Remote) - SQL, Python, Insights

Aubrant Digital Llc; Ciudad de Mendoza; Remote; ARS 90,873,000 - 136,310,000; Full time

Benefits offered by this job

PTO 10 days

USA holidays

Remote work

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. You will work with SQL and Python to extract insights from large consumer and retail datasets and translate results for stakeholders in English.

The role is remote (LATAM) with entry to mid-level experience welcomed; strong numbers sense and data manipulation skills are valued. You will collaborate with cross-functional teams to drive data-driven decisions.

Qualifications

• Strong SQL and Python skills with data manipulation experience.
• Experience with cleaning, transforming, and modeling data to support business decisions.
• Excellent English communication and ability to summarize technical results for stakeholders.

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 and aggregate raw data to calculate core metrics such as market share and purchasing trends.
• Build and maintain clean data tables and views for recurring tracking reports and dashboards.
• Review query outputs, perform data audits, and ensure data integrity before presenting insights.
• Translate technical results into clear summaries or data tables for English-speaking stakeholders.

Skills

SQL

Python

English

Data analysis

Education

Bachelor's degree in Analytics/CS/Stats

Tools

Pandas

Snowflake/BigQuery

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. You will work with SQL and Python to extract insights from large consumer and retail datasets and translate results for stakeholders in English.

The role is remote (LATAM) with entry to mid-level experience welcomed; strong numbers sense and data manipulation skills are valued. You will collaborate with cross-functional teams to drive data-driven decisions.