Volt - Saint Paul, MN
posted 4 months ago
Start working the way you have imagined with a top automotive manufacturer! Volt is immediately hiring a Quality and Customer Feedback Data Analyst / Project Manager in Fountain Valley, CA. As a Quality and Customer Feedback Data Analyst Project Manager, you will play a crucial role in enhancing customer satisfaction and product quality by analyzing customer feedback and coordinating with various departments. Your primary responsibilities will include assisting the Senior Manager in developing and updating weekly Voice of the Customer (VoC) reports, identifying emerging and recurring customer issues, and analyzing survey verbatimments to quantify the frequency and magnitude of these issues. You will also be responsible for calculating metrics and coordinating contributions from the Quality and Customer Care departments to ensure a comprehensive understanding of customer feedback. In this role, you will assist in mapping customer-facing education documents and videos with survey questions and response options, helping to define Product Quality alerts, and monitoring survey health through reports that track deliveries, completions, unsubscribes, and bounces. The scope of data and information you will work with includes customer feedback surveys, response data, questionnaires, and customer-facing education documents and videos. You will need to clean, validate, and join data sets to aid in data linkage, aggregation, and analysis, while maintaining databases and workflows to support reporting and analysis. Additionally, you will participate in user acceptance testing (UAT) to ensure that reports and dashboards are thoroughly reviewed, and any issues or errors are identified. This position is a full-time opportunity, initially a long-term temporary role for 6 months, with a strong possibility of extension and potential to become permanent. The working hours are Monday to Friday from 8 AM to 5 PM, and the position is hybrid, requiring three days onsite and two days remote. The ideal candidate will have a background in data analytics, excellent communication skills, and a customer service-centric approach.