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
Please submit 10+ years profiles only
Must Have 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.
Numbers & Facts
Location
Boise, ID (Remote)
Job Type
Full-time
Skills
Analysis Skillsunmatched
Corrective Actionunmatched
Customer Experienceunmatched
Customer Support/Serviceunmatched
Customer/Client Researchunmatched
Data Analysisunmatched
Data Setsunmatched
Identify Issuesunmatched
Machine Learningunmatched
Market Segmentationunmatched
Metricsunmatched
Natural Language Processing (NLP)unmatched
Performance Metricsunmatched
Problem Solving Skillsunmatched
Reporting Dashboardsunmatched
SQL (Structured Query Language)unmatched
Statistical Modelingunmatched
Statisticsunmatched
Technical Marketingunmatched
Trend Analysisunmatched
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