Remote Client Success Analyst - Automotive Data

J.D. Power; United States; Remote; USD 126,000 - 130,000; Full time

Job summary

J.D. Power is seeking a Client Manager in Customer Success to act as a data analyst lead and trusted advisor for a major client, leveraging JD Power’s U.S. Automotive Configuration and Retail Transaction data.

The role focuses on delivering high-value insights, building strong client relationships, and supporting business development through compelling case studies. The role emphasizes expert data analysis, BI tool utilization, and executive-level communication to influence strategic decisions

Qualifications

• 3-6 years of experience in automotive retail sales or reporting roles, consulting, corporate strategy, finance, or analytics
• Significant experience with Excel and PowerPoint is required
• Experience using BI/Analytics platforms like Palantir, Tableau, PowerBI, or ThoughtSpot is desirable

Responsibilities

• Analyze data and generate insights using BI tools (Tableau, PowerBI, ThoughtSpot) and Excel for data manipulation
• Serve as the customer success analyst for key clients, building trusted advisor relationships and enabling clients to derive high-value insights
• Provide subject matter expertise on the U.S. automotive retail industry, including sales volume, pricing, incentives, and residual values
• Lead discussions with OEM users and create case studies, thought leadership, and presentations to demonstrate value of JD Power data and services

Skills

Data analysis

Client management

Public speaking

Executive presentations

Communication

Tools

Tableau

PowerBI

ThoughtSpot

Palantir

Excel

Job description

J.D. Power is seeking a Client Manager in Customer Success to act as a data analyst lead and trusted advisor for a major client, leveraging JD Power’s U.S. Automotive Configuration and Retail Transaction data.

The role focuses on delivering high-value insights, building strong client relationships, and supporting business development through compelling case studies. The role emphasizes expert data analysis, BI tool utilization, and executive-level communication to influence strategic decisions