Responsibilities:
- Manage end-to-end data workflows, from engineering to building advanced visualizations, machine learning models, and experiments.
- Analyze and interpret large-scale (PB-level) transactional, operational, and customer data using both proprietary and open-source tools and platforms.
- Translate complex data insights into clear visualizations and actionable recommendations for operational teams and executives.
- Operate in a fast-paced environment where rapid time-to-market is essential.
Requirements:
- Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics, Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences.
- 3–5 years of professional experience in Analytics or Data Science.
- Self-motivated team player with the ability to quickly learn and apply new tools, software, and programming languages.
- Strong curiosity and analytical mindset, with the ability to uncover trends, explain patterns, and communicate complex technical concepts clearly.
- Experience in client-facing or internal consulting/business transformation roles is a plus.
- Passion for emerging technologies, including Blockchain, Machine Learning, and AI.
Technical Competencies (must have proficiency in two or more):
- Analytical software (e.g., R, SAS)
- Data visualization tools (e.g., Tableau, PowerBI, QlikView)
- Relational or graph database management (e.g., SQL, NoSQL, Neo4J)
- Programming languages (e.g., Python, Java, C++, VBA)