Manufacturing Data Analytics Manager

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. A U.S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering innovator that provides safe and effective nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine and space exploration. With more than 7,800 employees, BWXT has 14 major operating sites in the U.S., Canada and the U.K. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental restoration and operations management at a dozen U.S. Department of Energy and NASA facilities. BWXT’s technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. For more information, visit www.bwxt.com. Follow us on LinkedIn, X, Facebook and Instagram.

 

 

Welcome to BWXT

We believe in empowering our employees and cultivating a dynamic workplace that fosters growth and collaboration. Whether you’re an experienced professional or just starting your career, you'll find opportunities to challenge yourself, learn from seasoned experts, and contribute to nuclear innovation. We required a diverse range of skills to support our work in the markets that drive our business and welcome candidates from all backgrounds and life stages who are passionate about making a difference.

 

Location:

On-site in Euclid, Ohio

 

Your Day to Day as a Manufacturing Data Analytics Manager: 

This strategic, hands-on leadership role is responsible for driving data-enabled operational excellence across the manufacturing organization. The Manufacturing Data Analytics Manager leads cross-functional teams in building and sustaining a continuous improvement culture, leveraging advanced analytics, systems development, and data-driven decision-making. This position requires strong technical expertise, the ability to translate complex information into actionable insights, and the leadership presence to influence improvement initiatives at all organizational levels.

 

• Lead the analysis of manufacturing, operational, and system performance data to identify opportunities for improvement, efficiency gains, and cost optimization.
• Oversee data extraction, integration, and governance across multiple platforms, including SAP, SQL databases, and other enterprise systems.
• Manage the development, automation, and continuous enhancement of reporting tools, dashboards, and analytics solutions that support both manufacturing operations and broader business needs.
• Present insights and recommendations to technical and non-technical stakeholders, ensuring clarity, accuracy, and business relevance.
• Direct the development and deployment of data visualization tools and applications to support complex decision-making and long-term operational strategy.
• Partner with leaders and teams across the organization to identify, prioritize, and oversee system and process improvement initiatives.
• Manage and enhance custom analytical applications, including Excel- and VBA-based tools.
• Collaborate with IT and SAP teams to modernize, automate, and optimize reporting ecosystems.
• Provide high-level system and data support to business units and production teams, ensuring reliability and accessibility.
• Deliver data-driven recommendations for future projects, capital investments, and strategic initiatives.
• Oversee and support departmental training related to systems, tools, analytics, and data literacy.
• Occasional business travel may be required.

 

Required Qualifications:

• Bachelor’s degree in a relevant field; an advanced degree is preferred.
• Minimum five (5) years of leadership experience in the field.
• Strong analytical abilities with demonstrated skill in interpreting and synthesizing data from multiple systems.
• Proficiency with SAP, SQL, Excel, Power BI, and other data visualization technologies.
• Experience programming with Microsoft technologies or comparable languages is a plus.
• Ability to think strategically and operate independently within a fast-paced manufacturing environment.
• Strong problem-solving skills, attention to detail, and