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GeorgiaTEK Systems Inc. Linkedin · Posted 3d ago

Analytics Specialist

Blythewood

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Indexed description

Specialist, Data Analytics – Technical Field Data

  • Location: Blythewood, South Carolina
  • Experience: 5+ years
  • Education: Bachelor’s degree in Engineering, Computer Science, and/or Data Science
  • Relocation Assistance: Yes
  • Travel: Occasionally
  • Visa Candidates: No


Responsibilities

  • Analyze vehicle, field, customer, and connected vehicle data to identify emerging quality issues.
  • Support end-to-end root cause analysis across vehicle systems, including powertrain, high-voltage battery, and connected features.
  • Identify patterns and trends in fleet data to enable early issue detection and faster resolution.
  • Develop and deploy AI/ML solutions for anomaly detection, failure prediction, and sentiment analysis.
  • Analyze customer surveys, social media, web forums, call center logs, and customer feedback.
  • Partner with engineering, connected vehicle, service, warranty, and customer support teams.
  • Develop and maintain robust data pipelines and VIN-level Vehicle 360 traceability.
  • Translate data insights into actionable engineering and product improvements.


Required Skills

  • Bachelor’s degree in Engineering, Computer Science, or Data Science.
  • 5+ years of experience in technical data processing or analytics.
  • Hands-on experience with Databricks, SQL, Python, and large datasets.
  • Experience with JavaScript, Python, SQL, and HTML/CSS.
  • Experience deploying AI-based solutions and tools for data processing.
  • Knowledge of AI/ML, predictive analytics, and anomaly detection.
  • Experience with AWS, Azure, Databricks, data warehousing, and ETL concepts.
  • Experience with Power BI and PowerApps.
  • Strong analytical, problem-solving, and cross-functional collaboration skills.


Preferred Experience

  • Automotive, EV, connected vehicle, quality, warranty, or field issue analysis experience.
  • Experience with telemetry, IoT, vehicle diagnostics, powertrain, or battery data.
  • Experience with root cause analysis and reliability improvement.
  • Experience with customer insights and Voice of Customer (VoC) analytics.


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