#21889
d the preparation and production of comprehensive ESG reports in alignment with industry standards (e.g., SASB, TCFD, CSRD) for internal and external stakeholders
Collect, validate, analyze, and interpret ESG-related data to drive informed decision-making and uphold our commitment to corporate responsibility
Stay abreast of emerging trends, regulations, and best practices in the ESG space, driving continuous improvement in data analytics methodologies and reporting processes
Utilize analytics to identify trends, outliers, and opportunities for improvement in Waters's ESG reporting requirements and overall ESG initiatives
Lead and manage the collection and refinement of the company's carbon footprint and identify areas for improvement or efficiencies
Strong proficiency in data engineering and software development; Experience with programming languages such as Python, SQL
Solid understanding of data modelling, warehousing, and governance practices
Support internal and external audit processes related to ESG data
Partner with cross functional working groups to review regulatory requirements, identify and address gaps in current disclosures and procedures, inform global stakeholders and facilitate enhanced disclosure needs
Build processes to respond to inquiries from internal and external teams regarding Waters' sustainability practice
Qualifications
6+ years of experience in data management, with a focus on sustainability and ESG data and reporting
Excellent verbal and written communication skills, with the ability to articulate nuanced frameworks and project objectives to a variety of stakeholders
Strong capability to analyze a variety of data sets and derive actionable insights
Knowledge of and ability to stay informed about ESG trends, regulations and stakeholder expectations and apply business knowledge to inform our ESG roadmap
Attention to detail and ability to shift priorities to deliver on time-bound projects
Comfortable working independently and adapting to changing project needs
Ability to build effective, collaborative relationships with cross-functional teams
Proficiency in data engineering and software development; Experience with programming languages such as Python, SQL
Company Description
Waters Corporation (NYSE: WAT), the world's leading specialty measurement company, has pioneered chromatography, mass spectrometry and thermal analysis innovations serving the life, materials, and food sciences for over 60 years. With approximately 8,000 employees worldwide, Waters operates directly in 35 countries, including 15 manufacturing facilities, with products available in more than 100 countries. Our team focuses on creating business advantages for laboratory-dependent organizations to enable significant advancement in healthcare delivery, environmental management, food safety, and water quality.
Working at Waters enables our employees to unlock the potential of their careers. Our global team is driven by purpose. We strive to be better, learn and improve every day in everything we do. We're the problem solvers and innovators that aren't afraid to take risks to transform the world of human health and well-being. We're all in it together delivering benefit as one to provide the insights needed today in order to solve the challenges of tomorrow.
Diversity and inclusion are fundamental to our core values at Waters Corporation. It is our responsibility to actively implement programs and practices to drive inclusive behavior and increase diversity across the organization. We are united by diversity and thrive on it for the benefit of our employees, our products, our customers and our community. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or protected Veteran status.
Key Words
ESG, Sustainability, Data management, data engineering, SQL, Python, ESG reporting frameworks, CSRD, CDP, GHG Inventory, Ecovadis, data science