OEM Analytics Lead — Customer Success (Remote)

J.D. Power; United States; Remote; USD 76,000 - 90,000; Full time

Job summary

JD Power in the United States is seeking a Senior Analyst to lead data analytics for OEM Customer Success. You will act as a trusted advisor for one or more OEM clients, turning complex datasets into actionable insights that inform warranty reduction and quality improvements.

You will leverage BI tools such as Palantir and Tableau, develop scalable analyses, and present findings to executive stakeholders. This full-time role requires travel up to 60% for on-site consultations.

Qualifications

• 5+ years of experience in automotive product planning, quality, product development, retail sales, reporting, consulting, or data and analytics roles.
• Bachelor’s degree.
• Proven ability to analyze large, complex data sets and translate findings into actionable insights.
• Advanced proficiency in Excel and PowerPoint.
• Experience creating and delivering presentations to executive-level audiences.
• Willingness to travel domestically within the US for on-site consultation up to 60% of the time.

Responsibilities

• Data Analysis & Insights: Leverage BI tools to analyze industry trends and uncover actionable insights.
• Client Management & Customer Success: Serve as the primary analyst for assigned OEM clients and build trusted advisor relationships.
• Subject Matter Expertise: Act as SME on U.S. automotive quality and warranty reduction, benchmarking to competitors.
• Communication & Influence: Lead client discussions and deliver clear presentations to stakeholders.

Skills

Data analysis

Excel

PowerPoint

Tableau

SQL

Python

Spark

Education

Bachelor’s degree

Master’s degree

Tools

Palantir Foundry

Palantir

Tableau

Python

Spark

Job description

JD Power in the United States is seeking a Senior Analyst to lead data analytics for OEM Customer Success. You will act as a trusted advisor for one or more OEM clients, turning complex datasets into actionable insights that inform warranty reduction and quality improvements.

You will leverage BI tools such as Palantir and Tableau, develop scalable analyses, and present findings to executive stakeholders. This full-time role requires travel up to 60% for on-site consultations.