Responsibilities:
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Handle end-to-end data responsibilities, from engineering and processing to building advanced visualizations, machine learning models, and experiments.
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Analyze and interpret large-scale (PB-level) transactional, operational, and customer datasets using both proprietary and open-source tools.
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Translate complex data insights into actionable recommendations and clear visualizations for operational teams and executives.
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Identify trends and patterns in Latin American markets and propose strategic action plans to operations and marketing teams.
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Thrive in a fast-paced environment where rapid delivery and time-to-market are critical.
Requirements:
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Bachelor’s or Master’s degree in a quantitative discipline (Mathematics, Statistics, Actuarial Science, Computer Science, Engineering, Life Sciences).
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3–5 years of professional experience in analytics or data science roles.
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Self-motivated team player with the ability to quickly learn and apply new tools, analytical software, data models, and programming languages.
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Strong curiosity and problem-solving skills to uncover trends, analyze patterns, and communicate complex findings in simple, actionable terms.
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Prior consulting or business transformation experience (internal or client-facing) is a plus.
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Passion for emerging technologies, including Blockchain, Machine Learning, and AI.
Technical Competencies (at least two required):
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Analytical software (e.g., R, SAS)
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Data visualization tools (e.g., Tableau, Power BI, QlikView)
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Relational or graph databases (e.g., SQL, NoSQL, Neo4J)
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Programming languages (e.g., Python, C++, Java, VBA)