Remote ML Data Analyst — SQL/Python for Marketing Insights

Quora, Inc.; La Pampa; A distancia; ARS 57.731.000 - 103.309.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO

100% remote

USA holidays

Descripción de la vacante

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based client team. The role emphasizes SQL, Python, and data storytelling for large-scale consumer datasets.

You will translate technical results into clear stakeholder summaries in English while collaborating with international teams. Open to recent graduates through mid-level analysts, with strong quantitative coursework and a hands-on approach to data manipulation, validation, and reporting.

Formación

• Bachelor's degree in a quantitative field with coursework in databases or analytics.
• Strong SQL and Python for data manipulation and analysis.
• Experience cleaning and transforming messy data and building clear summaries.

Responsabilidades

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning or statistical models to uncover consumer behaviors and forecast trends.
• Slice and aggregate data to calculate core business metrics like market share and trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Review outputs, perform data audits, and ensure data integrity before insights.
• Segment data with conditional logic to identify tracking cohorts.
• Parse and categorize unstructured text data.
• Translate results into clear summaries for English-speaking stakeholders.

Conocimientos

SQL

Python

Pandas

English comms

Data wrangling

ML basics

Educación

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

Herramientas

Snowflake

BigQuery

Redshift

Jupyter

Descripción del empleo

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based client team. The role emphasizes SQL, Python, and data storytelling for large-scale consumer datasets.

You will translate technical results into clear stakeholder summaries in English while collaborating with international teams. Open to recent graduates through mid-level analysts, with strong quantitative coursework and a hands-on approach to data manipulation, validation, and reporting.