Top Automotive Data & Analytics Jobs

Design, develop, and maintain data pipelines and analytic solutions for supplier quality data, ensuring high performance and compliance with data standards.

The Senior Analyst will develop ownership models, understand customer needs, collaborate with engineering teams, and represent GM at industry events to enhance customer value.

The Analyst will manage investor operations, provide data analysis for investor requests, improve processes, and enhance the investor experience, requiring collaboration across multiple teams.

The Lead Data Analyst will analyze complex datasets to provide actionable insights, develop advanced analytics, and improve operational efficiency. They will collaborate with stakeholders and monitor performance metrics to drive business growth.

The Category Data Analyst supports sourcing activities, supplier relationships, and cost optimization through data analysis, market intelligence, and reporting, enabling strategic category management.

The Business Intelligence Senior Analyst delivers data analysis and insights, develops measurement strategies, and mentors team members, while applying advanced data visualization techniques and automation through AI.

The Digital Experience Analyst will enhance online shopping experiences via analytics, user research, and cross-functional collaboration, driving actionable insights for conversion optimization.

The Senior Data Analyst will generate insights from data sets, optimize user engagement, and support business initiatives through analysis and reporting.

The Lead Scientist develops sustainability standards and metrics, conducts research, engages with stakeholders, and identifies innovative methodologies in sustainability science.

The Director of Strategy & Insights leads a team in driving data-driven marketing strategies, product innovation, and client engagement through analytics and AI/ML technologies.

The Lead Data Product Analyst leads the design and implementation of data solutions, collaborating with stakeholders to enhance data usability, drive adoption, and support business strategies.