Digital Analyst Digital Marketing

Overview Reporting to the Director of Digital Demand within Waters' Analytical Sciences Division, this highly visible role is the analytical engine behind how we market. You will turn campaign, website, and funnel data into clear stories and sharp recommendations that guide where the team invests, tests, and optimizes, and you will see your insights change decisions and drive revenue.      The ideal candidate is curious, analytical, and eager to make an impact, someone who thrives in a fast-paced environment, loves finding the "why" behind the numbers, and communicates findings so that anyone can act on them. You will bring a passion for data-driven marketing and a drive to help unlock new digital revenue opportunities while continuously improving performance.  Responsibilities Analyze performance across paid, email, SEO, social, and eCommerce channels, translating results into clear optimization recommendations.  Build and maintain automated, self-serve dashboards and deliver weekly and monthly performance readouts to marketing stakeholders.  Analyze the customer journey from visit to lead to order to show which channels and content drive revenue and net new customers.  Design measurement plans and read out A/B and CRO tests with statistical rigor, turning results into next-step actions.  Partner with Performance Marketing, eCommerce, Marketplaces, and SEO/GEO teams to answer business questions and prioritize opportunities.  Proactively identify performance risks, tracking gaps, and growth opportunities, and recommend corrective actions.  Segment audiences and size opportunities to support planning, AOP, and investment cases.  Translate complex data into concise insights and compelling presentations for senior leaders.  Qualifications   Bachelor's degree in marketing, business, analytics, or a related field required  2-5 years of experience in digital marketing analytics, web analytics, or business intelligence  Proficiency with web analytics tools (e.g., GA4, Adobe Analytics) and BI/dashboard tools (e.g., Tableau, Power BI, Looker)  Strong SQL and advanced Excel skills; Python or R a plus  Working knowledge of A/B testing, statistics, and marketing attribution  Strong communication & organizational skills  Excellent presentation and data storytelling skills  Experience in B2B, eCommerce, or life sciences environments strongly preferred    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 WordsData Analyst, Data Engineer, Data Scientist, Digital marketing analyst