CX Analytics Lead: Insight-Driven Dashboards (Remote)

Pearson; Trenton (NJ); 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. You will define data use cases, identify gaps, source new feedback, and apply AI to enhance closed-loop activities.

Collaborating with cross-functional teams, you will deliver dashboards, reports, and models that drive business decisions across geographies and products.

Qualifications

• Experience with CX measurement principles (NPS/CSAT).
• Experience with reporting, analysis, and data visualization tools.
• Ability to facilitate discussions, communicate clearly, and build stakeholder relationships.
• Strong problem-solving and critical-thinking skills with complex data.
• Ability to map analytics to business outcomes and priorities.
• Experience supporting BI, data warehouse, or reporting initiatives.

Responsibilities

• Analyze CX data across products, units, and geographies to identify trends and opportunities.
• Develop actionable insights and reporting outputs for defined use cases.
• Prepare and present analysis-based reports to stakeholders with tailored findings.
• Design, build, and maintain self-service dashboards for business teams.
• Apply statistical methods to support segmentation and advanced analytics.
• Build and maintain topic models for end-to-end customer journey insights.

Skills

CX measurement

Data visualization

Stakeholder management

Problem solving

BI & data warehouse

Data analysis

Education

BA/BS degree

Tools

Tableau

Google Data Studio

Excel

Qualtrics

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. You will define data use cases, identify gaps, source new feedback, and apply AI to enhance closed-loop activities.

Collaborating with cross-functional teams, you will deliver dashboards, reports, and models that drive business decisions across geographies and products.