What You Will DoWrite, 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 deeper consumer behaviors and forecast trends.Slice, unpivot, and aggregate raw transactional or panel data to calculate core business metrics such as household penetration, market share, and purchasing trends.Build and maintain clean, structured data tables and views that feed into recurring tracking reports and stakeholder dashboards.Review query outputs, perform data audits, and double-check logic to ensure accuracy and data integrity before insights are finalized.Use conditional logic and filtering techniques to segment data and isolate specific tracking cohorts.Clean, parse, and categorize unstructured or semi-structured text data.Translate technical data structures and query results into clear written summaries, bullet points,



or data tables for stakeholders in English-speaking environments.Requirements0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles.
Entry-level candidates with strong relevant coursework, personal data projects, or internships are welcome, as well as mid-level professionals with a proven track record of querying databases to drive business insights.Advanced English level (written and spoken).
Foundational to intermediate SQL skills, including complex JOIN logic, standard aggregations, and CASE WHEN conditional logic.Python scripting for data cleaning, manipulation, and processing, with proficiency in pandas for complex multi-step transformations.Familiarity with modeling libraries such as scikit-learn or statsmodels to build and evaluate predictive or statistical matching models.Experience working with m
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📌 Remote Mlops Engineer - Deploy Ai Models To Production (Córdoba)
🏢 FullStack
📍 Córdoba