About the job
Application Process: Please submit your application exclusively through verified recruitment platforms such as LinkedIn, Workable, Indeed, and others. Dymax will only reach out to prospective candidates using email addresses ending in @dymax.com.
About Dymax: Dymax, a proud member of the Bachmann Chemical & Engineering family, is headquartered in Torrington, Connecticut. We are renowned worldwide for our pioneering advancements in light-curable adhesives and curing technology. Our extensive range of innovative adhesives, coatings, and maskants are complemented by advanced dispensing solutions and state-of-the-art UV and LED curing equipment. Unlike many of our competitors, we prioritize the customer experience by tailoring solutions that help our clients reduce costs, minimize their environmental impact, enhance operational efficiency, and bolster profitability. Our commitment to customer intimacy has fueled our rapid growth, leading to a dynamic future characterized by innovation, exceptional products, and outstanding employees.
About You: We are looking for a results-driven, innovative, and self-motivated individual to join our talented team as a Business Intelligence Manager. In this pivotal role, you will spearhead enterprise analytics architecture and performance insights by crafting scalable data models, establishing governed reporting frameworks, and integrating ERP and operational systems into a solid data foundation. You will standardize KPI definitions across business units and deliver reliable financial and operational insights that streamline reporting processes, enhance transparency, and empower executive decision-making.
Key Responsibilities:
- Design and govern enterprise BI architecture and data models, creating dimensional models, establishing standardized KPI logic, architecting a governed semantic layer, and enforcing development lifecycle standards to ensure scalable and reliable analytics solutions.
- Lead and nurture a high-performing enterprise analytics team by mentoring BI analysts, setting clear performance expectations, aligning priorities with enterprise objectives, and enhancing technical capabilities and business context across the team.
- Integrate ERP and operational systems into a cohesive data environment by designing and implementing ELT processes, reconciling transactional data with published financial reports, establishing historical tracking, and ensuring data quality and integrity across core platforms.
- Develop and deliver executive and operational analytics that promote performance visibility through dashboards and analytical models that illuminate margin performance, working capital, inventory levels, throughput, and more.