Data Analytics Manager - Business Insights - Milford MA - Hybrid

Come help us transform Waters Corporation

Transformation at Waters Corporation (NYSE: WAT) is driving the next phase of enterprise evolution. Our mission is to accelerate integration, execution, and value capture while transforming the capabilities that power our business.

As part of this journey, we are building the data and analytics foundations required to enable integration, enterprise transparency, and advanced technologies such as AI-driven and predicative analytics capabilities. These capabilities support data‑driven decision‑making across the enterprise, enabling better insights, improved processes, and more efficient operations.

This is a unique opportunity to join a team at the center of Waters’ transformation, working on high‑impact initiatives that shape how leaders across the company understand performance and make decisions.

The Manager, Business Insights and their team operate at the intersection of business strategy, analytics, and technology. This role acts as the product owner for enterprise analytics and insight offerings, defining the vision, roadmap, and success measures for how data is translated into actionable insights.

You will partner closely with business leaders, data engineers, analysts, and product teams to ensure analytics solutions are business‑relevant, scalable, trusted, and outcome‑driven. While not a pure hands‑on engineering role, this position requires strong technical acumen to influence solution design, challenge assumptions, and ensure analytical rigor.

Analytics Product Ownership & Strategy

• Own the vision and roadmap for business intelligence and insights across key enterprise domains (e.g., transformation, value capture, sustainability, sales & orders, and operations).
• Translate business strategy and leadership questions into clear analytical problems, metrics, and products.
• Lead a Data Engineering and Analytics team to ensure data models, pipelines, and semantic layers support analytical needs.
• Prioritize initiatives based on business impact, feasibility, and strategic alignment.
• Define success criteria and adoption measures for analytics products and dashboards.

Business Partnership & Insight Delivery

• Lead the definition of KPIs, scorecards, and insight narratives that connect operational data to business outcomes.
• Act as a trusted thought partner to senior stakeholders, helping them interpret data, challenge narratives, and drive fact‑based decisions.
• Synthesize complex data into clear, executive‑ready insights and recommendations.
• Drive alignment across functions on metric definitions, assumptions, and interpretation.
• Provide technical guidance and oversight on solution design, data quality, and scalability.
• Champion best practices in metric design, documentation, and reuse.

Required Qualifications

• Bachelor’s degree in a quantitative or business discipline (e.g., Business Analytics, Economics, Engineering, Computer Science)
• 8+ years of proven experience in Business Intelligence, analytics product ownership, or insight leadership in a complex enterprise environment.
• Strong technical literacy in data and analytics, including:
• Data modeling and KPI design
• Advanced SQL and analytics concepts
• Understanding of modern data platforms and pipelines (even if not hands‑on)
• Demonstrated ability to define analytical vision and translate it into delivered outcomes.
• Experience with process‑oriented analytics or process mining platform/s (e.g., Celonis, and/or PowerBI, and/or Tableau) and event‑based datasets
• Experience partnering with senior business stakeholders (VP-level and above) and influencing decisions through data.
• Experience leading and managing teams aligned to customer insights and data analytics. Must have excellent communication skills and ability to engage both deeply technical teams and non‑technical leaders.
• Ability to work onsite at Milford MA , Tuesday to Thursday , remote Monday and Friday. 
• US Citizen or Permanent resident preferred. 

Nice to Have / Plus Qualifications

• Strong business domain expertise in enterprise systems such as:
• SAP (orders, supply chain, finance, pricing, revenue)
• Salesforce or other commercial / service platforms
• Experience supporting or driving enterprise transformations, integrations, or large‑scale metric standardization.
• Exposure to advanced analytics, automation, or AI‑enabled insight use cases.

Waters Corporation (NYSE:WAT)  is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.  

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.