JOB DESCRIPTION

In late January we announced that Bridgefield Capital signed an agreement to acquire Philips’ Emergency Care business, which includes leading brands and products like HeartStart AEDs, Intrepid and DFM100 monitor defibrillators, Tempus monitor and Tempus ALS systems, and Corsium and ECI informatics solutions. We expect the transaction to close at the end of 2025. With Bridgefield’s support and building on our 40+ year legacy of growth and innovation in emergency medical technology, the Emergency Care business will continue passionately pursuing our mission of saving lives, lowering the cost of healthcare, and advancing the science of resuscitation while serving the public access AED, EMS, military, and hospital market segments.
In this Senior Quality Engineer-Data Analytics role and as part of an agile company that has the dedicated resources needed to achieve its strategic goals, you’ll have every opportunity to grow both personally and professionally and potentially make an even bigger impact on the acute care space – as well as on the consumers, patients and healthcare workers who depend on these innovative life-saving solutions.
The Senior Quality Engineer-Data Analytics will create new tools and methods to analyze quality data and create meaningful recommendations that enable leadership to make better decisions that contribute to the safety and efficacy of Emergency Care products that save lives and improve health.

• Responsible for Identifying/Using state-of-the-art business intelligence, reporting/data analysis methods, technology and tools, such as machine learning, computational statistics, and data mining to identify hidden insights from the wealth of data available within Philips.
• Will manipulate big data sets using innovative tools as well as proven techniques to disseminate complex raw information into clear and concise recommendations.
• Compile, analyze, and effectively present trending reports to identify opportunities that increase efficiency, ensure quality, and decrease cost.
• Develop and implement tools and techniques resulting in recommendations that enable leadership to make better data-based decisions.
• Build custom data queries and standardized reports by collaborating with internal customers to understand their needs.
• Compile and review Quality Operations KPI’s and support the compliance effort of the Quality & Regulatory team. Support ongoing compliance improvement initiatives, including CAPAs. Validate all standardized queries, reports, and metrics used for quality purposes.
• Leads cross function projects and demonstrates expertise in implementing strategic improvement projects. Acts in a leading position as both a technical coach and strategist for Data Analytics. Creates and continually improves procedures and work instructions to ensure reliable, repeatable results.