Intern, Business Data Analytics - Customer… at Waters… · New Castle

Summary: Waters Corporation is a global leader in life sciences and diagnostics, dedicated to advancing scientific innovation. The Business Data Analytics Intern will support the Global Service organization by developing customer experience models and analyzing data to enhance service offerings and drive growth. Responsibilities: - Analyze service and customer experience data (e.g., install base, service contracts, service interactions, response and resolution metrics) to identify patterns and segmentation opportunities - Support development of customer experience models that differentiate service offerings by customer type, usage, and regional needs - Identify drivers of customer satisfaction, retention, and service contract attach/renewal - Develop dashboards, reports, and visualizations to communicate insights clearly to service and commercial leaders - Partner with Service and Commercial teams to translate analytical findings into practical recommendations for service offerings and value propositions - Contribute to documentation of methodologies, assumptions, and insights to support scalability and repeatability of analytics Required Qualifications: - Currently pursuing a Bachelor's or Master's degree in Data Analytics, Business Analytics, Industrial Engineering, Economics, or a related field - Strong analytical skills with experience using Excel and/or data visualization tools - Ability to structure and analyze data to answer business questions - Strong communication skills with the ability to present insights to non‑technical audiences Preferred Qualifications: - Experience with Power BI, SQL, Python, R, or similar analytics tools - Familiarity with customer experience metrics, service operations, or commercial analytics - Exposure to CRM or ERP data (e.g., Salesforce, SAP) - Interest in service business models, customer experience, and data‑driven decision‑making Required Skills: Data Analytics, Excel, Data Visualization Important Skills: Power BI, SQL, Python, R, CRM Data, ERP Data Nice-to-Have Skills: Analytical Skills, Customer Experience Metrics, Service Operations, Commercial Analytics