Remote Machine Learning Analyst — Data & Insights

Prometeo Talent; Ciudad Juárez; Remote; MXN 1,097,000 - 1,829,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote work

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based marketing effectiveness team. You’ll work with large-scale consumer datasets, translating complex data into actionable insights for stakeholders in English.

Open to recent grads through mid-level professionals, with a strong quantitative background and solid SQL/Python skills. This role emphasizes data manipulation, model building, and clear storytelling with data.

Qualifications

• 0 to 4 years of Data Analysis experience; entry-level candidates welcome.
• Advanced English (written and spoken).
• Foundational to intermediate SQL with complex JOINs and CASE WHEN.
• Python for data cleaning and transformations using pandas.
• Familiarity with modeling libraries like scikit-learn or statsmodels.
• Experience cleaning and parsing messy text data.
• Bachelor’s degree in a related quantitative field.

Responsibilities

• Write, optimize, and execute SQL queries from relational databases and data warehouses.
• Develop and validate machine learning, predictive, or statistical models to forecast trends.
• Slice and aggregate raw data to compute household penetration, market share, and trends.
• Build and maintain clean data tables and views feeding dashboards.
• Audit query outputs and ensure data integrity prior to insights.
• Segment data using conditional logic to isolate tracking cohorts.

Skills

SQL

Python (Pandas)

English (Advanced)

Data Analysis

Education

Bachelor's degree in Business Analytics/Statistics/CS

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based marketing effectiveness team. You’ll work with large-scale consumer datasets, translating complex data into actionable insights for stakeholders in English.

Open to recent grads through mid-level professionals, with a strong quantitative background and solid SQL/Python skills. This role emphasizes data manipulation, model building, and clear storytelling with data.