Business Data Analytics Intern, Customer Experience

Waters CorporationMilford, MA
4dOnsite

About The Position

Waters Corporation is always looking to hire outstanding future talent for our company. The Clinical Business Unit is looking to hire Business Data Analytics Intern, Customer Experience out of our Milford, MA site. This role centers on developing a data-driven customer experience (CX) model. This role will translate customer, service, and commercial data into an actionable framework that enables differentiated service offerings, informed investment decisions, and measurable impact on customer outcomes and loyalty. The role will collaborate with Marketing, Service, Commercial Excellence, Strategy, and Regional teams to synthesize voice-of-customer (VoC), operational telemetry, CRM, and financial signals into a scalable model that supports segmentation, service tier design, and customer journey optimization. This internship is ideal for an analytically driven MBA/Master’s student interested in the intersection of data science, diagnostics, and commercial strategy.

Requirements

  • Current MBA/Master’s student with a concentration in Data Analytics, Data Science, Business Analytics or a related field.
  • Demonstrated ability to work hands‑on with real business data, including writing SQL queries to extract, join, and structure data; cleaning, validating, and organizing datasets for analysis, and using Excel for analysis, pivoting, and basic modeling
  • Working knowledge of data analysis tools (Python or R preferred) to support data transformation, segmentation, and exploratory analysis.
  • Ability to document work clearly and responsibly, including data sources and assumptions, key methodologies, and guidance for model reuse or future enhancement
  • Ability to translate complex analyses into clear business recommendations with measurable outcomes.
  • Strong communication skills; comfort working with stakeholders across functions and time zones.

Responsibilities

  • Develop a customer experience (CX) model that maps key customer segments, their journeys, moments that matter, and experience drivers linked to service tier differentiation.
  • Create a scoring/propensity segmentation framework and experience driver analysis using explainable, business-relevant methods to identify key factors influencing customer satisfaction, retention and service demand.
  • Build journey maps from awareness to renewal, identifying friction points and high-impact interventions for BDDS and CBU customer profiles.
  • Triangulate qualitative insights (interviews, surveys) with quantitative data to surface experience drivers.
  • Build decision-oriented dashboards (Power BI) that visualize customer segments, experience metrics, and service tier recommendations.
  • Define a pilot-ready service differentiation plan, including scope, success metrics, operational considerations, and a basic service playbook to enable execution.
  • Prepare and deliver executive‑ready summaries and documentation, ensuring clear handoff of datasets, assumptions, dashboards, and recommendations for continued use beyond the internship.
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