About this role
Job title: Sr. Quality Data & Analytics Specialist
Remote Work: 5 days at home (fully remote)
Salary Range: The base salary is a Minimum of $105,000 and a max
With a passion for life
Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers – and to save more lives, we need team players, forward thinkers, and game changers.
Are you looking for an inspiring career? You just found it.
Job Overview
The Sr. Quality Data & Analytics Specialist is responsible for transforming data into meaningful insights that support product quality, patient safety, regulatory compliance, and operational excellence within global Getinge. This role combines expertise in statistical analysis, data analytics, artificial intelligence (AI), and data integration to support businesses with pro-active signal detection, reducing patient risk.
The Senior Specialist will work closely with Legal Manufacturers, Quality, Regulatory Affairs, Medical Safety, Service, Manufacturing, and Information Technology teams to develop methods and tools to identify trends, detect emerging signals, automate manual processes, and provide actionable insights that support data-driven decision making.
This position is ideal for an analytical professional who enjoys solving complex problems, leveraging modern analytics and artificial intelligence (AI) tools, and helping business partners make informed decisions using data.
Job Responsibilities and Essential Duties
Statistical Analysis & Trending
- Act as a Subject Matter Expert in Statistical methods, supporting legal manufacturers with selection of appropriate statistical methodologies (when needed) to evaluate product performance and quality indicators.
Data Analytics & Business Intelligence
- Develop and implement dashboards, scorecards, and visualizations supporting analyses to identify trends, patterns, anomalies, and emerging signals within quality and post-market data.
- Continuously improve insights of dashboards, scorecards and visualizations utilizing data from multiple business systems and tools and other sources. Design output to support action determination.
- Present complex analytical findings in a manner understandable to both technical and non-technical audiences.
- Support management reviews and quality performance reporting activities.
Artificial Intelligence & Automation
- Identify opportunities to leverage AI and automation to improve the efficiency and effectiveness of signal detection, including trend analysis, data extraction, process automation, and knowledge management.
- Evaluate emerging AI technologies and recommend practical business applications.
- Support implementation, testing, validation, and monitoring of AI-enabled solutions.
- Follow and help establish best practices for responsible and effective use of AI within regulated business