Machine Learning Analyst

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Prometeo TalentMarketing analytics
Source API remote eligibility restrictions: GuatemalaFull-TimeEntry
Salary not disclosed
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Job Details

Languages
Advanced English level (written and spoken).
Experience
0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles.
Required Skills
PythonSQLPandasscikit-learn

Requirements

  • Have 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles; relevant coursework, personal projects, or internships are welcome for entry-level candidates.
  • Have advanced English proficiency in written and spoken communication.
  • Bring foundational to intermediate SQL skills, including complex JOIN logic, standard aggregations, and CASE WHEN conditional logic.
  • Use Python and pandas for data cleaning, manipulation, processing, and complex multi-step transformations.
  • Be familiar with modeling libraries such as scikit-learn or statsmodels for predictive or statistical matching models.
  • Have experience cleaning, parsing, filtering, and pattern matching messy text fields.
  • Understand relational database design, including table relationships, primary and foreign keys, and data normalization.
  • Hold a bachelor’s degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or a related field, with database management or quantitative data analysis coursework.

Responsibilities

  • Write, optimize, and execute SQL queries against relational databases and cloud data warehouses.
  • Develop, run, and validate machine learning, predictive, or statistical matching models.
  • Slice, unpivot, and aggregate transactional or panel data to calculate business metrics.
  • Build and maintain structured data tables and views for tracking reports and stakeholder dashboards.
  • Review query outputs and audit data and logic for accuracy and integrity.
  • Use conditional logic and filtering to segment data and tracking cohorts.
  • Clean, parse, and categorize unstructured or semi-structured text data.
  • Translate technical data structures and query results into written summaries, bullet points, or data tables for stakeholders.
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