Senior Business Intelligence Analyst

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.​

We are seeking a highly skilled and experienced Senior Business Intelligence (BI) Analyst to join our dynamic team. The ideal candidate will have extensive knowledge in data analysis, reporting, and business intelligence tools, and will be responsible for driving data-driven decision-making processes across the organization. As a Senior BI Analyst, you will work closely with cross-functional teams to identify business needs, develop analytical solutions, and provide actionable insights to support business growth and efficiency.

Key Responsibilities

Data Analysis and Reporting:

Collaborate with business teams to define and document requirements for reporting.
Design and develop reports and analytical tools.
Collect, analyze, and interpret complex datasets.
Transform data into clear, actionable reports using graphs, charts, and dashboards.
Develop and implement advanced data visualization techniques to create intuitive and impactful reports.
Perform ongoing monitoring and refinement of reports.
Business Insights:

Understand decision-making processes, workflows, and business needs by working closely with stakeholders.
Proactively mine data warehouses to identify trends and patterns.
Generate insights through statistical analysis to support strategic planning, business development, and operational efficiency.
Data Management:

Ensure data integrity and accuracy by implementing best practices for data governance and management.
Collaborate with IT and data engineering teams to optimize data processes and infrastructure.
Identify and resolve data errors and inconsistencies promptly.
Project Management:

Scope and manage projects from ideation to implementation to enhance the organization’s data and analytics capabilities.
Coordinate cross-functional teams to ensure project objectives are met on time and within budget.
Stakeholder Communication:

Communicate findings and insights effectively to both technical and non-technical stakeholders.
Prepare and deliver presentations to senior management.
Data Security:

Ensure compliance with data privacy regulations and company policies.
Implement security measures to protect sensitive data.      
Mentorship and Leadership:

Advocate for and teach the use of business intelligence tools across the organization.
Provide mentorship and guidance to junior analysts.
Continuous Improvement:

Stay updated with industry trends, best practices, and emerging technologies in business intelligence and data analytics.
Propose and implement improvements to existing processes and tools.
Qualifications and Skills
Education: Bachelor’s in information systems, Business Administration, Data Science, Statistics, Finance, or a related field.
Experience: 7+ years of experience in business intelligence, data analysis, or a similar role in manufacturing domain. Proven track record of delivering actionable insights and driving business performance.
Technical Skills:
Extensive Power BI experience.
Strong SQL skills for data querying and manipulation.
Strong ability to extract, manipulate, visualize, and model large datasets.
Ability to identify patterns, correlations, and trends from data that can provide insights into business operations, customer behavior, or market dynamics.
In-depth knowledge of data warehousing/lakehouse concepts, ETL processes and related technologies (e.g., Microsoft Synapse Analytics, Databricks).
Advanced skills in Excel
Experience with cloud-based data platforms, particularly Azure.
Experience with programming languages such as Python is a plus.
Analytical Skills: Strong analytical and problem-solving skills. Ability to interpret complex data sets and derive meaningful insights. Ability to perform functional requirements analysis and business domain analysis.

Communication Skills: Excellent communication and presentation skills. Ability to convey complex information to non-technical stakeholders clearly and concisely.

Project Management: Strong organizat