Remote ML Data Analyst | SQL & Python Focus

Improving South America; Buenos Aires; Remoto; ARS 92.724.000 - 154.540.000; Tempo integral

Benefícios oferecidos por esta vaga

100% remote

Resumo da vaga

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. The role emphasizes SQL, Python, and machine learning to derive insights from large-scale consumer and retail datasets and to translate results for English-speaking stakeholders.

The candidate range spans from recent graduates with a quantitative background to mid-level analysts, offering strong data manipulation skills and the ability to bridge data and business strategy in a fully remote LATAM

Qualificações

• Strong SQL skills with complex JOINs, aggregations, and CASE WHEN logic.
• Proficient Python for data cleaning, transformation, and processing (pandas).
• Experience with ML or statistical models and evaluating results.
• Ability to work with messy text data and extract structure from unstructured fields.
• Excellent English writing and speaking to communicate findings to stakeholders.

Responsabilidades

• Write, optimize, and run SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate ML or statistical models to uncover consumer insights and forecast trends.
• Aggregate and transform raw data to compute core metrics such as market share and purchasing trends.
• Create and maintain clean data tables and dashboards for tracking and reporting.
• Explain technical results in clear summaries for English-speaking stakeholders.

Conhecimentos

SQL

Python

Pandas

English fluency

Data cleaning

Formação

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

Ferramentas

Scikit-learn

Statsmodels

Cloud data warehouses

Descrição da vaga

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. The role emphasizes SQL, Python, and machine learning to derive insights from large-scale consumer and retail datasets and to translate results for English-speaking stakeholders.

The candidate range spans from recent graduates with a quantitative background to mid-level analysts, offering strong data manipulation skills and the ability to bridge data and business strategy in a fully remote LATAM