Responsibilities
- Lead specific analytical workstreams to answer business and client inquiries
- Handle multiple projects simultaneously while maintaining quality, accuracy, and timely delivery
- Act as the Data Science representative in interdisciplinary meetings and project discussions
- Assist in the full lifecycle implementation of analytical solutions from analysis to deployment
- Review current methodologies and procedures to ensure correct usage
- Record analysis details, results, assumptions, and suggestions in a clear and brief manner
- Identify, diagnose, and fix data, system, or analytical irregularities in assigned tasks
- Communicate technical ideas and outcomes to audiences with different analytical backgrounds
- Continuously improve technical, analytical, and industry-specific knowledge
Requirements
- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Data Science, or Engineering
- Three to five years of professional experience in a quantitative or analytics-focused position
- High quantitative ability with demonstrated data analysis and problem-solving capabilities
- Skill in using Python and SQL
- Background in handling large and intricate datasets
- Firm grasp of analytical processes and methods
- Excellent verbal, written, and presentation abilities
- Effective planning and organizational competencies
- Capacity to work both autonomously and cooperatively within a team setting
- Shown inquisitiveness and dedication to ongoing learning
