Overview
Waters is seeking a hands-on, insight-driven Commercial Analytics Leader to join our Revenue Operations team. This role is ideal for a data-savvy professional with deep expertise in sales analytics, Power BI, Databricks, and SQL, who thrives on turning complex data into actionable commercial insights.
As a key leader, you will define and execute the Commercial Intelligence roadmap, build scalable analytics platforms, and deliver strategic insights that empower Sales, Finance, and Commercial Excellence teams. You'll be both a technical builder and a strategic storyteller—comfortable developing dashboards and models while also influencing executive decision-making with compelling data narratives.
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Responsibilities
- Generate actionable insights from complex datasets to inform sales strategy, territory planning, pipeline health, and commercial performance.
- Lead the development of a global commercial analytics platform using Power BI, Databricks, and Azure, delivering real-time insights to Sales and Revenue Operations.
- Define and own the Commercial Intelligence strategy, aligning analytics initiatives with business goals and sales performance metrics.
- Partner cross-functionally with Sales, Sales Operations, Finance, and IT to design and implement scalable dashboards, KPIs, and forecasting models.
- Build and manage a high-performing analytics team, fostering a culture of continuous improvement and innovation.
- Establish a governance framework for analytics intake, prioritization, and delivery based on business impact.
- Drive data quality and integration strategies in collaboration with IT, ensuring robust and reliable data pipelines.
- Conduct deep-dive analyses, scenario modeling, and ad hoc reporting to support strategic decision-making and sales optimization.
- Translate data into compelling narratives and visualizations that drive executive alignment and commercial action.
Qualifications
Required:
- Bachelor's degree required; advanced degree (MA/MS/MBA) preferred.
- 10+ years of experience in Business Intelligence, Sales Analytics, Revenue Operations, or related fields.
- Proven hands-on expertise in Power BI, SQL, Databricks, Azure, and data visualization.
- Strong understanding of sales processes, go-to-market strategies, and commercial operations.
- Experience leading analytics teams and managing complex, cross-functional projects.
- Excellent communication and stakeholder management skills, with the ability to influence at all levels.
- Strong business acumen and ability to translate data into strategic insights.
- Experience with Salesforce and Salesforce Reporting.
- Familiarity with statistical modeling, A/B testing, and predictive analytics.
- Background in matrixed organizations and global Analytics delivery.
Company Description
Waters Corporation (NYSE:WAT) is a global leader in analytical instruments, separations technologies, and software, serving the life, materials, food, and environmental sciences for over 65 years. Our Company helps ensure the efficacy of medicines, the safety of food and the purity of water, and the quality and sustainability of products used every day. In over 100 countries, our 7,600+ passionate employees collaborate with customers in laboratories, manufacturing sites, and hospitals to accelerate the benefits of pioneering science.
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
Revenue Operations Revenue Intelligence Revenue Intelligence analyst Sales operations analyst Sales Analytics Commercial Intelligence Power BI Databricks SQL Business Intelligence Sales Strategy Data Visualization Forecasting KPI Development Insight Generation Commercial Excellence Data Engineering Predictive Modeling Data product developer Databricks data engineer