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- Assist in collecting, cleaning and analyzing large datasets to identify trends, patterns, and actionable insights
- Develop and maintain SAS and Tableau dashboards
- Support the team in designing and executing data models, statistical analyses and predictive analytics
- Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations
- Document processes and methodologies to ensure reproducibility and knowledge sharing
- Explore and experiment with new tools, techniques, and technologies to improve data analytics capabilities.
- Assist the team on any other ad-hoc tasks.
- Currently pursuing a degree in Data Science, Data Analytics, Business Analytics, Computing, Statistics or related field
- Fluent in programming language SQL and Python
- Familiar with analytics tools (e.g., SQL, Python, R) and visualization platforms (Tableau)
- Basic knowledge or willing to learn SAS
- Knowledge of statistical modeling and machine learning models
- Strong analytical skills and attention to detail
- Good communication skills
- Enthusiasm for problem-solving and learning new technologies
- Have interest in consumer banking industry