What are the responsibilities and job description for the Analytics Specialist position at GeorgiaTEK Systems Inc.?
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.