Remote ML Data Analyst — End-to-End Modeling & Insights

Bluelight Consulting, Llc

Ciudad de Mendoza

Remote

ARS 36,896,000 - 70,718,000

Full time

13 days ago

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Benefits offered by this job

10 days PTO
USA Holidays
100% remote work

Job summary

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based client team. The role focuses on large-scale consumer and retail data, translating raw data into actionable metrics.

Candidates should blend SQL and Python with strong numerical intuition and be able to summarize results for stakeholders in English. Open to entry to mid-level professionals, with opportunities to deepen data manipulation skills and work with cross-functional teams across LATAM and beyond.

Qualifications

  • Strong English written and spoken.
  • Solid SQL skills with complex JOINs and CASE WHEN logic.
  • Proficiency in Python for data cleaning and manipulation.
  • Experience with pandas for multi-step transformations.
  • Familiarity with developing ML or predictive models.

Responsibilities

  • Write and optimize SQL queries to extract data from relational databases and warehouses.
  • Develop, run, and validate ML or statistical models to forecast trends.
  • Process and aggregate raw data to compute key metrics like market share and penetration.
  • Build and maintain data tables and dashboards feeding reports.
  • Review outputs for accuracy and data integrity before insights adoption.
  • Segment data using filtering and conditional logic.
  • Parse, clean, and categorize unstructured text data.
  • Translate technical results into clear summaries for English-speaking stakeholders.

Skills

Advanced English
SQL
Python
Pandas
Machine Learning

Education

Bachelor's degree in related field

Tools

Pandas
Scikit-learn
Statsmodels
Snowflake/BigQuery/Redshift

Job description

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based client team. The role focuses on large-scale consumer and retail data, translating raw data into actionable metrics.

Candidates should blend SQL and Python with strong numerical intuition and be able to summarize results for stakeholders in English. Open to entry to mid-level professionals, with opportunities to deepen data manipulation skills and work with cross-functional teams across LATAM and beyond.

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