Analysis Skills, Corrective Action, Customer Experience, Customer Support/Service, Customer/Client Research, Data Analysis, Data Sets, Identify Issues, Machine Learning, Market Segmentation, Metrics, Natural Language Processing (NLP), Performance Metrics, Problem Solving Skills, Reporting Dashboards, SQL (Structured Query Language), Statistical Modeling, Statistics, Technical Marketing, Trend Analysis
Location: USA Remote
Responsibilities
- 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.