Note: The job is a remote job and is open to candidates in USA. JD Power is a company dedicated to providing data and analytics solutions in the automotive industry. They are seeking a Client Manager to serve as the data analytics lead for OEM clients, applying analytical expertise to enhance vehicle quality and customer satisfaction.

Responsibilities

• Apply advanced AI and analytics techniques to solve complex data challenges within the automotive industry
• Analyze and interpret large, complex datasets to identify trends, insights, and opportunities
• Develop predictive models to diagnose potential vehicle faults and underlying causes
• Partner with engineering and cross-functional teams to inform vehicle design and manufacturing improvements
• Translate complex data into clear, actionable insights that support business and client decision-making
• Create and deliver detailed reports, dashboards, and presentations for stakeholders, including senior leadership
• Serve as a trusted advisor to OEM clients, ensuring effective use of data and analytics to drive business outcomes
• Build and maintain strong client relationships, proactively identifying opportunities to support sales, marketing, and product strategies
• Act as a subject matter expert in automotive quality, warranty reduction, and competitive benchmarking
• Lead client onboarding, training, and ongoing engagement to maximize value from analytics solutions
• Continuously enhance analytics approaches by leveraging emerging tools, technologies, and methodologies

Skills

• 2–5 years of experience in automotive, consulting, or data analytics-related roles
• Bachelor's or Master's degree in a relevant field
• Strong analytical skills with the ability to interpret complex datasets and translate insights into actionable recommendations
• Advanced proficiency in Excel and PowerPoint, with experience presenting to executive audiences
• Solid understanding of automotive industry trends and dynamics
• Experience with Palantir Foundry
• Proficiency in Python, Spark, and SQL
• Demonstrated ability to integrate and analyze data from multiple, complex sources

Company Overview

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