Lead Specialist, Business Analytics

Pearson • Hoboken, NJ

10h • $100,000 - $120,000

About The Position

The Lead Specialist, Business Analytics for Customer Experience (CX) leverages CX best practices and strong data analysis to ensure the business has actionable insights based on structured and unstructured customer feedback. They work closely with the business to define use cases for new data models or views that empower teams to make decisions, identify gaps and/or areas for growth in data collection across the end-to-end customer journey, identify new sources of customer feedback for inclusion in aggregated CX analysis, and leverage AI and automation to increase engagement with closed feedback loop activities.

Requirements

• Experience with Customer Experience measurement principles and techniques (including the use of the NPS and/or CSAT metrics).
• Experience with reporting, analysis, and data visualization tools (ex. Tableau, Google Data Studio, Excel).
• Demonstrated ability to facilitate discussions, communicate clearly, manage time effectively, and build strong stakeholder relationships.
• Strong problem-solving and critical-thinking skills, with the ability to analyze complex information.
• Ability to understand organizational priorities and connect analytical work to business outcomes.
• Experience supporting data, reporting, business intelligence, or data warehouse initiatives.

Nice To Haves

• Experience with Qualtrics or similar survey tooling
• Familiarity with Jira and Confluence
• Experience in using AI to capture and/or analyze customer behavior or feedback
• Familiarity with web marketing: SEO, AdWords, Social Media tagging, UTM parameters
• Data and data formatting: Proficient with multiple data formats: including JSON, XML and CSV.

Responsibilities

• Analyze customer experience data across products, business units, and geographies to identify trends, patterns, and opportunities that inform strategic decisions.
• Develop actionable insights and reporting outputs that support business-defined use cases and enable data-informed decision-making.
• Prepare and present analysis-based reports to stakeholders, tailoring findings to business needs and audience priorities.
• Design, build, and maintain self-service dashboards that enable business teams to access and interpret customer experience insights independently.
• Apply statistical analysis techniques to support customer segmentation, audience deep dives, and other advanced analytical needs.
• Build and maintain topic models that support business use cases and provide deeper visibility into the end-to-end customer journey.

Benefits

• Eligible to participate in an annual incentive program
• Information on benefits offered is here [https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpearsonbenefitsus.com%2F&data=04%7C01%7Ctasha.scott%40pearson.com%7C2c256513c79f4679be7c08d9e7287ebb%7C8cc434d797d047d3b5c514fe0e33e34b%7C0%7C0%7C637794983376381246%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=t1YQPUL7BgoclUd7yE2i86QAirLf4z3z8OEWgr42q7c%3D&reserved=0]

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree