Remote ML Data Analyst - Marketing Insights & BI

BairesDev

Tandil

Remote

ARS 108,354,000 - 162,531,000

Full time

2 days ago
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Benefits offered by this job

10 days PTO
100% remote
USA holidays

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a US-based client focused on marketing effectiveness measurement. The role is fully remote across LATAM, handling large-scale consumer datasets and translating data into actionable metrics for stakeholders.

The ideal candidate will have SQL, Python (pandas), and strong English communication, with 0–4 years of experience. Open to recent graduates and mid-level analysts interested in advancing technical data skills.

Qualifications

  • 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles.
  • Advanced English level (written and spoken).
  • Foundational to intermediate SQL skills, including JOINs, aggregations, CASE WHEN.

Responsibilities

  • 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 compute core metrics like household penetration and purchasing trends.
  • Build and maintain clean data tables and views feeding dashboards and reports.
  • Review outputs, perform data audits, and ensure data integrity before insights are shared.
  • Translate results into clear summaries for stakeholders in English.

Skills

SQL
Python (pandas)
English (Advanced)

Education

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

Tools

scikit-learn
statsmodels
Pandas

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a US-based client focused on marketing effectiveness measurement. The role is fully remote across LATAM, handling large-scale consumer datasets and translating data into actionable metrics for stakeholders.

The ideal candidate will have SQL, Python (pandas), and strong English communication, with 0–4 years of experience. Open to recent graduates and mid-level analysts interested in advancing technical data skills.

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