The Business Enablement Team (BET) within META Reality Labs is looking for a Data Analytics Engineer with deep technical and functional understanding and expertise of supply chain for the consumer electronics industry with an emphasis on Enterprise Customer Service. Enterprise Customer Service is a function within the Customer Inventory Operations in Reality Labs that is responsible for providing support to customers across different regions and countries, ensuring that their needs are met and their issues are resolved efficiently. This function typically involves managing customer inquiries, complaints, and feedback through various channels such as phone, email, chat, and social media. The goal of CS Global operations function is to enhance customer satisfaction, build brand loyalty, and improve overall business performance by providing high-quality customer service on a global scale. Some of the key performance indicators that this function is responsible for are Average Resolution Time (ART), Customer Satisfaction Score (CSAT), Customer Effort Score (CES), Net Promoter Score (NPS), Social Media Metrics, Customer Churn Rate, First Contact Resolution Rate, Customer Retention Rate (CRR), Customer Acquisition Cost (CAC) among others. The candidate must have excellent technical data analytics skills, such as SQL and Python, and have business acumen as it pertains to logistics and fulfillment. Excellent communications skills and an aptitude for close collaboration with business leadership, data engineering and solution teams are a must. As a data analytics engineer on the BET team at Meta, you can help build cutting-edge full-stack technologies that will transform the way people and businesses connect and communicate. You’ll help develop industry-leading solutions that power next-generation, large-scale platforms to help connect billions of people around the world.