Senior Marketing Analyst

our marketing strategy.

Responsibilities

• Through storytelling, you'll translate data into actionable insights that drive improvement in customer engagement.

• Understand Waters' end to end customer journey from digital marketing and web analytics to order, through internal and external data analysis; helping to define how these findings should influence global marketing efforts.

• Establish innovative strategies to understand and solve complex marketing problems: reach valuable data driven insights, through the discovery of patterns and trends; testing and evaluating various marketing mix models; formulating and designing data pipelines to monitor key metrics for the marketing teams.

• Coordinate activities that support delivery of marketing insights and participate hands-on in multiple projects.

• You will work closely with the Director of Revenue Operations, and various leaders in the Waters Division; as part of a matrixed team you will be supporting Division marketing priorities, working closely with peers in Commercial Excellence.

This is a Hybrid role based out of Milford, MA 3 days a week (Tuesday to Thursday)

Qualifications

• 3-5 years of professional experience in the field of analytics/marketing/consulting.

• Marketing domain expertise: Hands-on experience from tactical marketing analytics (such as marketing mix and attribution modeling, web analytics, campaign performance analysis, ROI estimates, life time value modeling) and customer focused marketing analysis (segmentations, user survey, storytelling about customers, brand positioning, etc.).

• Strong technical competence to perform advanced analytics: Experience performing analysis with large datasets, analytics tools experience (Python, Excel, SQL)

• Experience from 3rd party marketing tools (such as Google Analytics, Marketo, Adobe Analytics, Adobe Marketing Cloud)

• Skilled at condensing analysis into actionable insights to inform business decisions within marketing

Desirable:

• Experience of using Salesforce CRM

• Experience with hands-on statistical modeling (such as regression modeling, a/b testing, significance testing etc.), knowledge about machine learning (such as predictive modeling, decision trees, classification models, clustering techniques).

• Experience working in a matrixed environment building successful stakeholder partnerships.

Company Description

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.

Key Words

Marketing Analyst, Senior Data Analyst, Business Intelligence Analyst, Business Analyst, Strategic Analyst #LI-ML #LI-hybrid