Remote ML Data Analyst — Market Insights & Trends

Prometeo Talent; Cordoba; À distance; COP 40 000 000 - 70 000 000; Plein temps

Avantages offerts par ce poste

10 days PTO

USA Holidays

Remote work

Résumé du poste

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. This role involves working with large-scale consumer and retail datasets, turning raw transactional or behavioral data into clear, actionable metrics.

You will apply SQL and Python, translate results into concise English summaries for stakeholders, and collaborate with international teams to deepen skills in ML and data manipulation.

Qualifications

• 0 to 4 years of experience in Data Analysis or related roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including complex JOIN logic, aggregations, and CASE WHEN.
• Python scripting for data cleaning and processing with pandas.
• Familiarity with modeling libraries such as scikit-learn or statsmodels.
• Experience cleaning, parsing, and pattern matching within text fields.
• Understanding of relational database design and data normalization.

Responsabilités

• 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 models to uncover consumer insights and forecast trends.
• Slice, unpivot, and aggregate raw data to compute core metrics like household penetration and market share.
• Build and maintain clean data tables and views feeding dashboards and reports.
• Review query outputs, audit data, and ensure data integrity before delivering insights.
• Translate technical results into clear summaries for stakeholders.

Connaissances

SQL

Python

Pandas

Advanced English

Formation

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

Outils

Snowflake

BigQuery

Redshift

Description du poste

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. This role involves working with large-scale consumer and retail datasets, turning raw transactional or behavioral data into clear, actionable metrics.

You will apply SQL and Python, translate results into concise English summaries for stakeholders, and collaborate with international teams to deepen skills in ML and data manipulation.