Data Analyst – Quality & Customer Satisfaction

Analytical Skills

• Analyze data using both fundamental and advanced statistical techniques to support quality improvement initiatives
• Identify emerging product quality issues and contribute to early detection, forecasting, and predictive insights
• Structure, model, and interpret data to support problem-solving and business decision-making
• Work with multiple data sources, including warranty data, vehicle data, customer feedback, and manufacturing data
• Partner with product quality leaders to provide insights and recommendations that improve product performance and uptime
• Develop and implement analytical methodologies to enhance quality tracking and reporting
• Collaborate with cross-functional teams including data analysts, data engineers, data architects, and data scientists
• Support the implementation and deployment of advanced analytics solutions
• Contribute to continuous improvement efforts by identifying opportunities to optimize data processes and tools
• Communicate findings through clear data storytelling to ensure the voice of the customer is represented

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related field (Master’s preferred)
• Experience working in a technical or manufacturing-focused quality environment
• Strong proficiency in Power BI for data visualization and reporting
• Hands-on experience with tools such as SQL, Python, R, Azure Analytics, Jupyter Notebook, or Apache Spark
• Knowledge of machine learning techniques, including classification, regression, clustering, and anomaly detection
• Proven ability to solve complex problems using data-driven approaches
• Strong understanding of data modeling, data structuring, and analytics methodologies
• Experience working with large, complex datasets from multiple sources
• Excellent written and verbal communication skills with the ability to present insights clearly
• Ability to collaborate effectively with cross-functional teams
• Self-driven with a proactive mindset and a strong desire to learn new technologies and techniques

Compensation

Salary Range: 90,000 to 100,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience