CX Analytics Lead: Insights & Dashboards (Remote)

Pearson; Charleston (WV); Remote; USD 100,000 - 120,000; Full time

Job summary

Pearson is seeking a Lead Specialist, Business Analytics for Customer Experience to leverage CX best practices and data analysis for actionable insights. You will work with cross-functional teams to define data use cases and improve data collection across the customer journey.

Responsibilities include building dashboards, applying statistics for segmentation, and presenting analyses to stakeholders. Remote-friendly environment with a focus on data-driven decision making and AI-enabled insights.

Qualifications

• BA/BS in Business, Communications, IS, Data Science, Math or related.
• Experience as a CX Analyst, Business Analyst, or related role.
• Ability to manage multiple priorities and deadlines.

Responsibilities

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

Skills

CX analytics

NPS/CSAT measurement

Data visualization

Stakeholder communication

Problem solving

BI/data warehouse experience

Education

BA/BS in a relevant field

Tools

Tableau

Google Data Studio

Excel

Qualtrics

SQL

Job description

Pearson is seeking a Lead Specialist, Business Analytics for Customer Experience to leverage CX best practices and data analysis for actionable insights. You will work with cross-functional teams to define data use cases and improve data collection across the customer journey.

Responsibilities include building dashboards, applying statistics for segmentation, and presenting analyses to stakeholders. Remote-friendly environment with a focus on data-driven decision making and AI-enabled insights.