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Senior Data Analyst Quality

Smithnephew
📍 US - Field 📅 Posted May 9, 2026
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About this role

Life. Unlimited. At Smith+Nephew we design and manufacture technology that takes the limits off living.

As a Senior Data Analyst, you will play a pivotal role in turning complex Quality and Operations data into meaningful insights that drive compliance, product quality, and operational excellence. Working in a regulated medical device environment, this is an opportunity to influence decisions across the product lifecycle while supporting digital transformation and predictive quality initiatives. This is a US field based role with up to 10 percent travel.

What will you be doing?

• Apply statistical, analytical, and machine learning techniques to transform Quality and Operations data into actionable insights
• Collect, clean, and analyze data from CAPA, complaints, nonconformances, and operational performance metrics
• Identify trends, signals, and systemic quality risks using advanced analytical methods
• Design, build, and maintain dashboards and KPI reports to support cross functional leadership and daily operations
• Automate and optimize recurring Quality reports and analytics
• Partner closely with Quality Engineering, Quality Systems, R&D, Manufacturing, IT OT, Regulatory, Operations, and Logistics teams
• Support root cause analysis, risk assessment, audit readiness, and CAPA activities through data driven insights
• Develop predictive and anomaly detection models for defect detection, process optimization, and productivity improvements
• Document data workflows and business processes to ensure standardization, reproducibility, and compliance
• Ensure all analytical approaches align with FDA QSR, ISO 13485, and internal Quality Management System requirements

What will you need to be successful?

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related technical field; a Master’s degree is preferred
• 2 to 5 years of experience in data analytics or an equivalent role
• Strong analytical and statistical skills with proficiency in Python, R, and or SQL
• Experience working with large datasets and querying complex data models
• Proficiency with data visualization tools such as Power BI or Tableau
• Familiarity with quality tools and methods including SPC, Six Sigma, and root cause analysis
• Experience in a regulated industry such as medical devices, manufacturing, or logistics is preferred
• Strong communication skills with the ability to present complex information to technical and non technical audiences
• A continuous improvement mindset and the ability to work effectively both independently and as part of a team

You. Unlimited.
We believe in creating the greatest good for society. Our strongest investments are in our people and the patients we serve.
Inclusion and Belonging- Committed to Welcoming, Celebrating and Thriving on Inclusion and Belonging, Learn more about Employee Inclusion Groups on our website (https://www.smith-nephew.com/).
Your Future: 401k Matching Program, 401k Plus Program, Discounted Stock Purchase Plan, Tuition Reimbursement
Work/Life Balance: Flexible Personal Vacation Time Off, Paid Holidays, Flex Holidays, Paid Community Service Day
Your Wellbeing: Medical, Dental, Vision, Health Savings Account (Employer Contribution of $500+ annually), Employee Assistance Program, Parental Leave, Fertility and Adoption Assistance Program
Flexibility: Hybrid Work Model (For most professional roles)
Training: Hands On, Team Customized, Mentorship
Extra Perks: Discounts on fitness clubs, travel and more! [US - Non Sales | Word]

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Smith+Nephew provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

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Explore our website and learn more about our mission, our team, and the opportunities we offer.

This listing was aggregated by Perik.ai from Smithnephew’s public job board. Click the button above to view the full job description and apply directly.
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