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Web Industries seeks a Data Manager Engineer/Business Systems Analyst with 5+ years of experience to drive BI, data warehousing, and AI-driven analytics for manufacturing and distribution.
You will gather requirements, model data, and deliver reporting solutions while collaborating with ERP and MES teams to improve supply chain visibility and executive decision making.
Web Industries a 100% employee-owned company (ESOP), which brings a lot of advantages to the people who work here—beyond the great pay and excellent benefits. You’re not just an employee, you are an employee-owner, with a vested interest in the success of the company. Web Industries’ founder, Bob Fulton, believed that the people who create the value of a company, the employees, should share in the success of the company. We believe there is a real energy that exists when people are open, honest, and work together to meet mutual goals. We do this by living our values:
Heart of an Owner: Taking personal responsibility and pride in our work.
Stronger Together: The power of collaboration and teamwork.
Find a Way: Determination and creativity to overcome challenges
As a company, we thrive on that energy and work to bring it into every product and every project that we touch. At Web, we believe the employee experience is paramount to our company’s success. Working with us, you’ll experience a myriad of cultures, locations, industries, and technologies. And you’ll be part of an employee-owned company dedicated to helping you achieve a fulfilling life and a rewarding career.
Data Manager Engineer/Business Systems Analyst (BSA) with 5+ years of experience supporting Power BI, Data Warehousing, ERP, MES, and AI-driven analytics within a manufacturing and distribution environment. This individual will work closely with business stakeholders and technical teams to gather requirements, analyze business processes, and deliver reporting and data solutions that improve operational performance, supply chain visibility, and executive decision-making. The ideal candidate has experience integrating data across ERP and MES platforms and leveraging modern BI and AI technologies to drive business insights.