Quality Data Analyst I

Boston Scientific•Arden Hills, MN
•$59,900 - $113,800

About The Position

The Quality Data Analyst I joins the ICVT Data Analytics & Trending team, which supports post-market quality, complaint handling and investigations, and product performance monitoring. This entry-level role uses data tools such as Excel and Power BI to produce analytical reports, dashboards, and insights addressing medical device performance questions. The analyst collaborates with quality engineers, data analysts, data scientists, and cross-functional partners to turn complex data into clear, actionable insights. The role also offers opportunities to improve data accessibility, automate reporting, strengthen analytical tools, and support process improvements across product and functional teams. The successful candidate will contribute to business and patient-safety decisions while developing technical and medical device quality expertise.

Requirements

  • Bachelor's degree.
  • At least 1 year of experience in data analytics, reporting, and problem-solving within a technical field.
  • Advanced Microsoft Excel skills.
  • Demonstrated analytical, critical-thinking, and problem-solving capabilities.
  • Strong communication skills, including the ability to explain technical concepts to technical and business audiences.

Nice To Haves

  • Bachelor's degree in data analytics, mathematics, statistics, or a related quantitative field.
  • Experience in the medical device industry or with medical device quality data, including complaints or product trending.
  • Experience implementing data tools or supporting project and program initiatives.
  • Experience with Power BI and/or SQL.

Responsibilities

  • Analyze complaint and post-market surveillance data for patterns, trends, and potential signals, and support follow-up investigations as needed.
  • Partner with internal stakeholders to define data and reporting requirements and translate them into practical analyses and reports.
  • Develop, maintain, and improve dashboards, reports, and analytical tools using existing or emerging technologies.
  • Provide recurring and ad hoc analyses that communicate product performance, key trends, and business insights.
  • Identify opportunities to improve data quality, reporting efficiency, system performance, and analytical processes.
  • Support product performance and data analytics projects through planning, execution, and stakeholder communication.
  • Contribute to the data analytics strategy and operating plan.
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