Remote ML Data Analyst for Market Insights

Ryzlabs Inc.; Buenos Aires; Remote; ARS 64,907,000 - 111,269,000; Full time

Benefits offered by this job

10 days PTO

USA holidays

Remote-friendly

Job summary

Prometeo Talent partners with a U.S.-based company to recruit a Data Analyst (Machine Learning) for remote LATAM work. The role focuses on turning large consumer/retail datasets into actionable insights, using SQL and Python to build models and dashboards, and communicating results in English.

Ideal candidates bring strong SQL, Python (pandas), and English communication skills, with openness to varying experience levels from recent grads to mid‑level analysts seeking deeper technical

Qualifications

• 0–4 years of Data Analysis or Analytics experience.
• Advanced English (written and spoken).
• Foundational to intermediate SQL skills, including JOIN logic, aggregations, and CASE WHEN.
• Python scripting for data cleaning and processing, with pandas proficiency.
• Familiarity with scikit-learn or statsmodels for modeling.
• Experience handling messy text data and relational database design basics.

Responsibilities

• Write, optimize, and run SQL queries to extract data from relational databases and cloud warehouses.
• Develop and validate ML, predictive, or statistical models to forecast trends.
• Slice and aggregate data to calculate core metrics like market share and purchasing trends.
• Build and maintain clean data tables and views feeding dashboards.
• Review outputs, perform data audits, and ensure data integrity before insights.
• Translate results into clear English summaries and stakeholder-friendly visuals.

Skills

SQL queries

Python (pandas)

English communication

Data visualization

Analytical reasoning

Education

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

Tools

pandas

scikit-learn

statsmodels

Job description

Prometeo Talent partners with a U.S.-based company to recruit a Data Analyst (Machine Learning) for remote LATAM work. The role focuses on turning large consumer/retail datasets into actionable insights, using SQL and Python to build models and dashboards, and communicating results in English.

Ideal candidates bring strong SQL, Python (pandas), and English communication skills, with openness to varying experience levels from recent grads to mid‑level analysts seeking deeper technical