Remote ML Data Analyst — SQL, Python & Insights

Anyone Ai Inc.; La Pampa; A distancia; ARS 91.155.000 - 136.732.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO

USA Holidays

100% remote

Descripción de la vacante

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client and work on large-scale consumer and retail datasets. You will bridge complex databases and business strategy, turning data into actionable metrics.

The role emphasizes SQL and Python (pandas) skills, strong numerical sense, and clear communication for stakeholders in English. Open to recent graduates and mid-level analysts alike.

Formación

• 0–4 years in Data Analysis or related roles; open to recent graduates with strong coursework or internships.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including JOINs, aggregations, and CASE WHEN.

Responsabilidades

• 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 transactional or panel data to calculate core metrics like household penetration and market share.
• Build and maintain clean data tables and views that feed into recurring tracking reports and dashboards.
• Review query outputs, perform data audits, and ensure data integrity before insights are finalized.
• Use conditional logic to segment data and isolate tracking cohorts.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical data structures into clear summaries for stakeholders in English.

Conocimientos

SQL

Python/pandas

English

Data analysis

Text processing

Educación

Bachelor's degree

Herramientas

Snowflake

BigQuery

Redshift

Descripción del empleo

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client and work on large-scale consumer and retail datasets. You will bridge complex databases and business strategy, turning data into actionable metrics.

The role emphasizes SQL and Python (pandas) skills, strong numerical sense, and clear communication for stakeholders in English. Open to recent graduates and mid-level analysts alike.