Sr. Analyst, REWS Data Services

Sr. Analyst, REWS Data Services page is loaded## Sr. Analyst, REWS Data Services locations:
US - WI - Madison time type:
Full time posted on:
Posted Todayjob requisition :
R26-12605
** Help us change lives
** At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.
** Position Overview
** The Sr. Analyst, REWS Data Services, ensures Exact Sciences’ Real Estate and Workplace systems data is accurate, well-governed, and optimized for enterprise decision-making. Partnering with REWS and enterprise stakeholders, this role blends data engineering, governance, and analytics to manage metadata integrity, improve data quality, and streamline information workflows across applications and business domains. The analyst transforms complex data into clear, actionable insights that strengthen operational efficiency, regulatory compliance, and a culture of data-driven excellence.
** Essential Duties
** Include, but are not limited to, the following:
* Develop, maintain, and enhance the Enterprise Data Catalog for assigned applications, domains, assets, attributes, KPIs, and metadata to ensure accuracy, consistency, and usability.
* Apply and enforce data governance principles to maintain reliable, complete, and standardized metadata across enterprise systems.
* Serve as a subject matter expert for assigned data domains, providing mentorship, guidance, and support to data and application teams.
* Ensure compliance with regulatory standards (e.g., GDPR, CCPA, FDA, ISO) and internal data classification and security requirements.
* Conduct technical data profiling, validation, and quality checks to verify data integrity, lineage, and completeness across multiple sources.
* Collaborate with business and technical stakeholders to define and implement metadata standards, workflows, and data governance policies.
* Administer assigned applications in a primary or backup capacity, supporting configuration, integration, and documentation of data workflows.
* Utilize tools such as Databricks, Power Automate, Power BI, Tableau, Cognos, Swagger, APIs, Postman, and SQL to manage data pipelines, catalogs, and analytics assets.
* Partner with application owners and business units to gather requirements, drive automation, and deliver technology enhancements to improve data operations.
* Develop and maintain standard operating procedures, training materials, and technical documentation to support adoption of data governance and analytics best practices.
* Provide user support, troubleshoot issues, and monitor system usage to ensure stable operations and drive continuous improvement.
* Build strong relationships across business and IT teams, translating complex technical concepts into actionable insights aligned with enterprise goals.
* Apply analytical thinking and curiosity to identify data issues, propose solutions, and improve enterprise data quality and reliability.
* Demonstrate accountability, adaptability, and innovation in managing data assets and supporting governance initiatives within a dynamic, matrixed environment.
* Develop a working knowledge of the Real Estate portfolio, project management principles, and facilities operations to contextualize data insights for the REWS organization.
* Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
* Support and comply with the company’s Quality Management System policies and procedures.
* Maintain regular and reliable attendance.
* Ability to act with an inclusion mindset and model these behaviors for the organization.
* Ability to work within normal business hours, as well as on call, with potential for nights and weekends.
* Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
* Ability to work on a computer and phone simultaneously.
* Ability to use a telephone…