Job description

The Senior Digital & Marketing Analyst is a key member of the Commercial Analytics team responsible for transforming digital, marketing, customer, and commercial data into actionable insights that drive revenue growth and improve customer engagement. This role partners closely with Marketing, E-commerce, and Commercial Excellence to analyze customer behavior across the end-to-end customer journey, evaluate marketing effectiveness, optimize digital experiences, and support strategic business decisions. The ideal candidate combines strong analytical and technical expertise with business acumen, leveraging data from digital channels, CRM platforms, marketing systems, and commercial operations to identify opportunities, measure performance, and recommend improvements. This role goes beyond reporting by delivering meaningful insights, supporting experimentation, and influencing business strategy through data-driven storytelling. • Analyze digital and marketing performance across web, e-commerce, self-service, assisted channels, and marketing campaigns, including traffic, conversion, funnel performance, customer engagement, and revenue contribution. • Develop insights into customer behavior throughout the end-to-end customer journey, identifying opportunities to improve acquisition, engagement, conversion, retention, and customer lifetime value. • Partner with Marketing, E-commerce, Commercial Excellence, and Revenue Operations teams to evaluate campaign performance, channel effectiveness, attribution, marketing mix, and return on investment (ROI), recommending optimization strategies. • Translate complex analytical findings into clear, actionable recommendations through compelling data storytelling and executive-level presentations. • Support experimentation initiatives, including A/B testing and conversion optimization, by defining success metrics, analyzing results, and providing recommendations. • Identify trends, patterns, and business opportunities through analysis of internal and external data sources. • Build Power BI dashboards, reports, and visualizations to automate insight. • Integrate digital analytics, CRM, marketing automation, and commercial data to provide a comprehensive view of customer and revenue performance. • Develop scalable analytical frameworks, performance metrics, KPIs, benchmarks, and data pipelines to support ongoing business decision-making. • Perform advanced statistical and quantitative analyses, including regression analysis, significance testing, segmentation, attribution modeling, marketing mix analysis, and predictive modeling where appropriate. • Coordinate analytics activities across multiple projects while collaborating with cross-functional and global stakeholders. • Support strategic initiatives by providing analytical expertise that informs commercial and marketing priorities. Required Education & Experience • Bachelor's degree in Analytics, Data Science, Statistics, Economics, Business, Marketing, Computer Science, or a related field. • 5+ years of experience in digital analytics, marketing analytics, e-commerce analytics, consulting, or a related analytical role. • Strong experience analyzing digital funnels, customer journeys, campaign performance, web analytics, conversion rates, attribution, marketing effectiveness, and ROI. • Experience working with large datasets and translating analysis into actionable business insights. • Hands-on experience with digital analytics platforms such as Google Analytics, Adobe Analytics, Adobe Marketing Cloud, or similar platforms. • Strong analytical, quantitative, and problem-solving skills. • Experience with Power BI, SQL, Excel, and at least one analytical programming language such as Python. • Experience working with marketing technology platforms, CRM systems, and marketing automation tools. • Excellent communication and presentation skills, with the ability to explain complex analyses to technical and non-technical audiences. • Proven ability to collaborate effectively across cross-functional and matrixed organizations. Preferred Qualifications • Experience in technology, life sciences, SaaS, e-commerce, or other data-driven organizations. • Experience with Salesforce CRM, Marketo, or similar marketing automation platforms. • Experience with business intelligence and visualization tools such as Power BI, Tableau, or Looker. • Knowledge of experimentation frameworks, A/B testing methodologies, and conversion rate optimization. • Experience with statistical modeling, predictive analytics, machine learning techniques, customer segmentation, clustering, and classification models. • Experience integrating digital analytics with downstream commercial, sales, and revenue data. • Familiarity with customer lifetime value modeling, marketing attribution, and marketing mix modeling. 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. #LI-Hybrid

Requirements

Must-haves

Develop insights into customer behavior throughout the end-to-end customer journey, identifying opportunities to improve acquisition, engagement, conversion, retention, and customer lifetime value.
Translate complex analytical findings into clear, actionable recommendations through compelling data storytelling and executive-level presentations.
Support experimentation initiatives, including A/B testing and conversion optimization, by defining success metrics, analyzing results, and providing recommendations.
Identify trends, patterns, and business opportunities through analysis of internal and external data sources.
Build Power BI dashboards, reports, and visualizations to automate insight.
Integrate digital analytics, CRM, marketing automation, and commercial data to provide a comprehensive view of customer and revenue performance.
Develop scalable analytical frameworks, performance metrics, KPIs, benchmarks, and data pipelines to support ongoing business decision-making.
Perform advanced statistical and quantitative analyses, including regression analysis, significance testing, segmentation, attribution modeling, marketing mix analysis, and predictive modeling where appropriate.
Coordinate analytics activities across multiple projects while collaborating with cross-functional and global stakeholders.
Support strategic initiatives by providing analytical expertise that informs commercial and marketing priorities.
Required Education & Experience
Bachelor's degree in Analytics, Data Science, Statistics, Economics, Business, Marketing, Computer Science, or a related field.
5+ years of experience in digital analytics, marketing analytics, e-commerce analytics, consulting, or a related analytical role.
Strong experience analyzing digital funnels, customer journeys, campaign performance, web analytics, conversion rates, attribution, marketing effectiveness, and ROI.
Experience working with large datasets and translating analysis into actionable business insights.
Hands-on experience with digital analytics platforms such as Google Analytics, Adobe Analytics, Adobe Marketing Cloud, or similar platforms.
Strong analytical, quantitative, and problem-solving skills.

Nice-to-haves

Experience in technology, life sciences, SaaS, e-commerce, or other data-driven organizations.
Experience with Salesforce CRM, Marketo, or similar marketing automation platforms.
Experience with business intelligence and visualization tools such as Power BI, Tableau, or Looker.
Knowledge of experimentation frameworks, A/B testing methodologies, and conversion rate optimization.
Experience with statistical modeling, predictive analytics, machine learning techniques, customer segmentation, clustering, and classification models.
Experience integrating digital analytics with downstream commercial, sales, and revenue data.
Familiarity with customer lifetime value modeling, marketing attribution, and marketing mix modeling.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonmachine learning

Platform: icims
Effort: medium