Data Analytics Specialist | Automotive Industry

Seeking an experienced Data Analytics Specialist, to join the growing Product Quality & Engineering organization. This is a highly visible role supporting the launch and continuous improvement of next-generation electric vehicles.

As a key member of the Field Quality Analytics team, you will transform massive amounts of connected vehicle, customer, warranty, and operational data into actionable insights that improve vehicle quality, engineering performance, and customer satisfaction.

This role combines advanced analytics, AI, cloud technologies, and engineering collaboration to proactively identify emerging field concerns, perform root cause analysis, and develop predictive solutions that improve vehicle reliability before issues become widespread.

If you're passionate about solving complex problems through data and enjoy working at the intersection of engineering, AI, and automotive technology, we'd love to hear from you.

QUALIFICATIONS

Education

Bachelor's Degree in one of the following:

• Computer Science
• Data Science
• Engineering
• Software Engineering
• Mechanical Engineering
• Electrical Engineering
• Information Systems
• Analytics
• Mathematics
• Statistics

Equivalent professional experience will also be considered.

• 5+ years of experience in data analytics, engineering analytics, product quality, or technical field analysis.
• Experience working with large-scale structured and unstructured datasets.
• Experience supporting engineering, manufacturing, quality, warranty, or connected products.
• Automotive OEM or Tier 1 supplier experience preferred.
• Experience in EV, connected vehicle, IoT, or mobility industries is highly desirable.
• Candidates from aerospace, industrial manufacturing, heavy equipment, consumer electronics, medical devices, or other technical industries with strong data analytics experience will also be considered.

Required experience with:

• SQL
• Python
• Databricks
• Cloud Data Platforms (AWS, Azure, or GCP)
• Data Warehousing
• Power BI
• Data Visualization
• Statistical Analysis
• ETL/Data Integration
• Dashboard Development

Experience with:

• JavaScript
• HTML/CSS
• REST APIs
• Data Lake architectures
• Version Control (Git)

is a plus.

AI & Machine Learning

Experience with one or more of the following:

• Machine Learning
• Predictive Analytics
• AI-powered data processing
• OpenAI technologies
• Large Language Models (LLMs)
• Natural Language Processing (NLP)
• Anomaly Detection
• Time Series Analysis
• Generative AI applications

Ability to build AI-powered analytics products from concept through deployment is highly desirable.

Experience supporting one or more of the following:

• Connected Vehicle Analytics
• Vehicle Telemetry
• Vehicle Diagnostics
• Product Quality
• Warranty Analytics
• Customer Experience Analytics
• Engineering Data Analytics
• Manufacturing Analytics
• Failure Analysis
• Root Cause Investigations
• Reliability Engineering
• Product Development
• Quality Management Systems

This role will sit ONSITE out of either Columbia or Blythewood, SC.