Data Analyst
Indotronix International Corporation
Job Summary: Data Analyst (Quality & Customer Insights) - Automotive Engineering Location: Fully Onsite - Greensboro, NC | Contract: 12 months (strong extension potential) | Schedule: First Shift, Monday-Friday About the Role Apex Systems is seeking a detail-oriented Data Analyst specializing in Quality & Customer Insights to join a leading automotive engineering client onsite in Greensboro, NC. In this high-impact role, you will leverage your data analytics expertise to drive product quality improvements, uncover actionable customer insights, and directly influence decision-making for warranty and quality issues on trucks. This is a unique opportunity to work at the intersection of data science and engineering, with strong career growth potential and hands-on exposure to large-scale automotive data environments. Responsibilities
- Analyze and interpret large, complex datasets to identify trends, patterns, and actionable insights related to product quality and customer experience.
- Detect emerging issues and support root cause analysis through advanced data modeling and statistical techniques.
- Develop and implement analytical methodologies to improve customer satisfaction, product reliability, and operational performance.
- Build interactive dashboards and data visualizations (primarily in Power BI) to communicate findings and support key business decisions.
- Integrate and analyze data from multiple sources (operational, customer, service, manufacturing) to generate holistic insights.
- Apply statistical and machine learning methods (classification, regression, clustering, anomaly detection) to solve business problems.
- Collaborate with cross-functional teams (engineering, quality, data) ensuring alignment and driving analytics initiatives forward.
- Support data structuring, modeling, and transformation for improved accessibility and usability.
- Proactively identify opportunities to enhance analytics tools, workflows, and processes.
- Present technical findings clearly to technical and non-technical stakeholders.
- 5+ years of experience building Power BI dashboards (data display, accuracy, scripting, and link validation).
- Strong SQL skills for data extraction from multiple sources.
- Proficiency in Python for analytics (or demonstrated ability and willingness to learn quickly).
- Demonstrated ability to work with large datasets.
- Experience using statistical tools to analyze exposure rates and assess field failure potential.
- Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or related discipline.
- Automotive engineering industry experience (required) with a focus on warranty and quality data.
- Hands-on experience with cloud-based analytics or big data platforms.
- Exposure to advanced analytics/machine learning in a production environment.
- Experience with data engineering concepts or collaboration with data engineering teams.
- Advanced degree in a relevant field.
- Experience working with quality, product performance, or operational data.
- Fully onsite role within a collaborative, cross-functional environment.
- Opportunity to work directly with large-scale automotive data and critical business challenges.
- Strong potential for contract extension and career advancement.
- Monday-Friday first-shift schedule for work-life balance.
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