
Senior Quantitative Analyst
2 days ago
Job Summary
A Data Scientist analyzes customer satisfaction and operational metrics to identify trends and areas for improvement.
This role requires strong analytical skills, attention to detail, and effective communication.
Key Responsibilities:
- Analyze qualitative and quantitative data to identify performance gaps and opportunities for improvement.
- Determine areas of focus and conduct analyses to understand the drivers of performance gaps.
- Coordinate with statisticians to develop key driver analysis and statistical linkages between customer satisfaction and operational metrics.
- Support relationship-building with peers in Operations to understand current processes and identify possible gaps contributing to lower key metric results.
Action Planning and Implementation:
- Facilitate root cause analysis to determine underlying drivers behind performance gaps.
- Facilitate action planning sessions with Call Center Operations or other stakeholders to develop recommendations for operational changes.
- Implement action plans in collaboration with Call Center Operational units.
Candidate Profile:
This role requires a Bachelor's degree in a related field and 4+ years of overall analytical thinking and aptitude. Strong communication, customer service orientation, and ability to work in a diverse environment are essential.
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