Senior CX Analytics Lead (Remote)

TrulyHired; United States; Remote; USD 100,000 - 120,000; Full time

Job summary

Pearson is seeking a Lead Specialist, Business Analytics for Customer Experience (CX). You will leverage CX best practices and data analysis to provide actionable insights from structured and unstructured feedback, partnering across the business to define use cases and improve data collection.

You will design dashboards, apply statistical techniques, and develop topics models to deepen understanding of the end-to-end customer journey and support strategic decisions. Remote-friendly within the US.

Qualifications

• Experience with CX measurement principles (NPS/CSAT).
• Experience with reporting, analysis, and data visualization tools (Tableau, Google Data Studio, Excel).
• Ability to facilitate discussions, communicate clearly, and manage stakeholder relationships.

Responsibilities

• Analyze customer experience data across products, units, and geographies to identify trends, patterns, and opportunities.
• Develop actionable insights and reporting outputs to support use cases and data-informed decisions.
• Prepare and present analysis-based reports to stakeholders, tailoring findings to priorities.
• Design, build, and maintain self-service dashboards for business teams to access insights.
• Apply statistical analysis to support customer segmentation and advanced analytics.
• Build and maintain topic models for deeper visibility into the customer journey.

Skills

CX measurement

Tableau

Google Data Studio

Excel

Stakeholder management

BI/Data warehousing

Education

BA/BS in Business/CS/Data Science

Tools

Tableau

Google Data Studio

Excel

Jira

Confluence

Job description

Pearson is seeking a Lead Specialist, Business Analytics for Customer Experience (CX). You will leverage CX best practices and data analysis to provide actionable insights from structured and unstructured feedback, partnering across the business to define use cases and improve data collection.

You will design dashboards, apply statistical techniques, and develop topics models to deepen understanding of the end-to-end customer journey and support strategic decisions. Remote-friendly within the US.