Remote ML & Data Analyst — SQL, Python & Insights

Fullstack; La Pampa; Remote; ARS 106,019,000 - 151,455,000; Full time

Benefits offered by this job

10 days PTO

100% remote work

USA Holidays

Job summary

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based client focusing on marketing effectiveness measurement. You will work with large-scale consumer datasets, turning data into actionable metrics for stakeholders in English.

The role emphasizes SQL, Python, and ML techniques, with opportunities across experience levels from recent graduates to mid-level analysts.

Qualifications

• 0 to 4 years of experience in Data Analysis or similar roles. Entry-level or mid-level candidates welcome.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including complex JOINs, aggregations, and CASE WHEN.
• Python scripting for data cleaning, manipulation, and processing, with pandas proficiency.
• Familiarity with modeling libraries such as scikit-learn or statsmodels for predictive/statistical models.
• Experience working with messy text fields: cleaning, parsing, filtering, pattern matching.
• Solid understanding of relational database design, keys, and normalization.
• Bachelor's degree in a related quantitative field with coursework in database management or data analysis.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning, predictive, or statistical matching models to uncover consumer behaviors and forecast trends.
• Slice, unpivot, and aggregate raw data to calculate core metrics like household penetration, market share, and purchasing trends.
• Build and maintain clean, structured data tables and views for recurring tracking reports and dashboards.
• Review query outputs, perform data audits, and double-check logic to ensure accuracy and data integrity.
• Use conditional logic and filtering to segment data and isolate tracking cohorts.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical results into clear written summaries or data tables for English-speaking stakeholders.

Skills

SQL

Python

Pandas

scikit-learn

statsmodels

English

Data analysis

Data cleaning

Education

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

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based client focusing on marketing effectiveness measurement. You will work with large-scale consumer datasets, turning data into actionable metrics for stakeholders in English.

The role emphasizes SQL, Python, and ML techniques, with opportunities across experience levels from recent graduates to mid-level analysts.