Responsibilities:
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Work across the full data lifecycle, from engineering and data preparation 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 and platforms.
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Translate complex analytical findings into clear, actionable visualizations and recommendations for operational teams and executives.
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Identify market patterns across Latin America and provide actionable insights to operations and marketing teams.
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Thrive in a fast-paced industry and organization where rapid execution and time-to-market are critical.
Requirements:
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Degree in a quantitative discipline such as Mathematics, Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences.
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3–5 years of professional experience in an Analytics or Data Science role.
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Self-motivated team player with a strong ability to quickly learn and apply new analytical tools, programming languages, and data models.
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Natural curiosity and ability to identify, investigate, and explain trends and patterns in data, simplifying complex concepts for clear communication.
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Experience in internal or client-facing consulting, business transformation, or similar roles is preferred.
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Passion for emerging technologies, including Blockchain, Machine Learning, and AI.
Technical Competencies (must have proficiency in at least two):
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Analytical software (e.g., R, SAS)
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Data visualization tools (e.g., QlikView, Tableau, Power BI)
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Relational or graph database management tools (e.g., SQL, NoSQL, Neo4J)
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Programming languages (e.g., VBA, C++, Java, Python)
Preferred:
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Knowledge of the cryptocurrency industry is a strong differentiator.