Koninklijke Philips N.V-posted 9 months ago
$128,000 - $205,000/Yr
Full-time • Senior
Onsite • Bothell, WA
Ambulatory Health Care Services

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.

  • Identify and use 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.
  • 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.
  • Lead cross function projects and demonstrate expertise in implementing strategic improvement projects.
  • Act in a leading position as both a technical coach and strategist for Data Analytics.
  • Create and continually improve procedures and work instructions to ensure reliable, repeatable results.
  • Minimum of 7 years' experience in Data Analytics, with a focus on analyzing large sets of data in Healthcare, Finance, Aerospace, or other applicable, highly regulated, industries.
  • Experience working within a Quality Management System (QMS) required.
  • Experience working in an FDA regulated medical product environment preferred.
  • Experience implementing strategic Data Analytics initiatives across organizations and ability to manage multiple large/complex projects simultaneously.
  • Excellent customer service and interpersonal communication skills, including regularly leading presentations in front of leadership.
  • Excellent teamwork skills, with proven ability to influence and build rapport with internal customers and stakeholders.
  • Experience with data mining methods, statistical analysis, & data visualization methods, as well as writing queries for relational databases, such as MS SQL Server.
  • Experience with tools/languages such as Power BI, Minitab, Excel, Python, etc.
  • Minimum of a Bachelor's Degree in Data Science/Analytics, Statistics, Computer Science, Information Technology, or a related field.
  • MS preferred.
  • Six Sigma Green/Black Belt certification preferred.
  • Generous PTO
  • 401k (up to 7% match)
  • HSA (with company contribution)
  • Stock purchase plan
  • Education reimbursement
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