Data Analyst V

• Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.
• Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement.
• Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.
• Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.
• Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.
• Integrate customer feedback data with other transactional, operational, and Req Intake Template behavioral data sources to create a comprehensive picture of customer experience drivers.
• Advocate for customers and influence corrective actions, Job Summary: The Technical Data Analyst is responsible for maintaining investment data for clients. This role involves tasks such as analyzing and organizing raw data, building da…
• 2 months ago +

1 Very technical with marketing background 2 Customer segmentation for marketing 3 Customer support 4 Comfortable with temporary tables in SQL 5 Strong skills in Python Pandas and data structures 6 Experience with data modeling (regression, NLP). This is a remote position.