Quality Data Analyst I: Build Dashboards & Insights

Boston Scientific Corporation; Arden Hills (MN); In loco; USD 60.000 - 114.000; Tempo pieno

Descrizione del lavoro

The Quality Data Analyst I will join the ICVT Data Analytics & Trending team, supporting post-market quality, complaint handling, investigations, and product performance monitoring. You will use Excel and Power BI to generate reports, dashboards, and insights for cross-functional partners.

You will collaborate with quality engineers, data analysts, data scientists, and stakeholders to turn complex data into clear recommendations that drive patient-safety decisions and process improvements across

Competenze

• Bachelor’s degree required.
• 0Be at least 1 year of experience in data analytics, reporting, and problem-solving within a technical field.
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Mansioni

• Analyze complaint and post-market surveillance data for patterns, trends, and potential signals; support follow-up investigations as needed.
• Develop, maintain, and improve dashboards, reports, and analytical tools using existing or emerging technologies.
• Provide recurring and ad hoc analyses that clearly 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.

Conoscenze

Advanced Excel

Analytical thinking

Problem solving

Communication skills

Critical thinking

Formazione

Bachelor's degree

Bachelor's degree in data analytics / mathematics / statistics

Strumenti

Power BI

SQL

Descrizione del lavoro

The Quality Data Analyst I will join the ICVT Data Analytics & Trending team, supporting post-market quality, complaint handling, investigations, and product performance monitoring. You will use Excel and Power BI to generate reports, dashboards, and insights for cross-functional partners.

You will collaborate with quality engineers, data analysts, data scientists, and stakeholders to turn complex data into clear recommendations that drive patient-safety decisions and process improvements across