We’re Watts. Together, we’re reimagining the future of water.
We feel proud every day about what we do. We're all part of the same crucial mission, no matter what function we support -- it's to provide safe, clean water for the world, and to protect our planet's most valuable resource.
What we do:
For 150 years, Watts has built best-in-class products that are trusted by customers in residential and commercial settings across the world. We are at the forefront of innovation, working with cutting-edge technology to provide smart and connected, sustainable water solutions for the future. Watts is a leading brand with a quality reputation — and we have a dynamic future ahead.
Scope of Position
We are seeking an experienced Data Analyst to serve as a critical link between business stakeholders, analytics teams, and data engineering teams. The ideal candidate will have strong expertise in SAP data structures, business process analysis, data validation, analytics, and enterprise data modeling.
This role will be responsible for gathering business requirements, validating data across SAP and non-SAP systems supporting enterprise reporting initiatives, and partnering with Data Engineers to design scalable data models that enable trusted analytics and reporting. The candidate will play a key role in our ongoing transition from a traditional SQL-based data warehouse environment to a modern SAP Business Data Cloud (BDC) and Databricks ecosystem.
Primary Job Duties and Responsibilities
- Gather, analyze, document business, and reporting requirements from stakeholders across various business functions.
- Translate business requirements into data, analytics, and reporting solutions.
- Develop a strong understanding of SAP business processes and underlying data structures.
- Validate and reconcile analytics data against SAP source systems to ensure reporting accuracy and consistency.
- Perform data quality assessments, root cause analysis, and data validation across SAP and non-SAP platforms.
- Analyze source data and business processes to identify gaps, risks, and improvement opportunities.
- Collaborate with Data Engineers, Architects, and Reporting Teams to design scalable enterprise data models.
- Support conceptual, logical, and physical data model design for analytics and reporting solutions.
- Create source-to-target mappings, business rules, and data transformation requirements.
- Participate in data warehouse modernization initiatives involving BDC, Datasphe