Remote ML Data Analyst for Market Insights

Bluelight Consulting, Llc

Ciudad de Mendoza

Remote

ARS 46,362,000 - 83,452,000

Full time

3 days ago
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Benefits offered by this job

100% remote
PTO 10 days
USA Holidays

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a 100% remote LATAM role. You will handle large consumer and retail datasets, translating complex data into actionable business insights, using SQL and Python to build models and dashboards for stakeholders in English.

The role suits graduates with quantitative backgrounds to mid-level analysts seeking deeper data manipulation, with opportunities to work across cross-functional teams and international projects.

Qualifications

  • Strong SQL and Python skills for data extraction and manipulation.
  • Experience turning raw data into actionable metrics for stakeholders.
  • Advanced English written and spoken for cross-border communication.
  • Background in data analytics or business analytics with quantitative focus.

Responsibilities

  • Write, optimize, and execute SQL queries from relational databases and cloud warehouses.
  • Develop and validate machine learning, predictive, or statistical models.
  • Aggregate and transform raw data to compute core business metrics.
  • Create clean data tables and dashboards feeding recurring reports.
  • Audit outputs and ensure data integrity before insights.
  • Segment data with filtering and conditional logic for cohorts.
  • Parse and categorize unstructured text data.
  • Summarize results to stakeholders in English with clear writeups.

Skills

SQL
Python (pandas)
English (Advanced)
Data Analysis
Data Manipulation

Education

Bachelor's degree in Business Analytics/Statistics/Math/CS/Economics/Marketing

Tools

Cloud data warehouses (Snowflake/BigQuery/Redshift)

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a 100% remote LATAM role. You will handle large consumer and retail datasets, translating complex data into actionable business insights, using SQL and Python to build models and dashboards for stakeholders in English.

The role suits graduates with quantitative backgrounds to mid-level analysts seeking deeper data manipulation, with opportunities to work across cross-functional teams and international projects.

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