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Quality Data Analyst - Intuitive (Intuitive Surgical)
Data Analyst
Analyze and interpret quality and regulatory data to drive process improvements, using SQL, Python, and statistical methods while creating visual reports for cross‑functional teams.
About the role
Key Responsibilities
- Collect, clean, and validate large datasets from manufacturing, clinical, and regulatory sources.
- Perform statistical analyses to identify trends, deviations, and opportunities for quality improvement.
- Develop dashboards and visual reports using tools such as Tableau or Power BI to communicate findings to stakeholders.
- Collaborate with engineering, clinical, and regulatory teams to define metrics, set tolerances, and support root‑cause investigations.
- Maintain documentation and ensure compliance with ISO, FDA, and internal quality standards.
Requirements
- Bachelor’s degree in Engineering, Statistics, Computer Science, or a related field.
- 3+ years of experience in data analysis within a regulated, quality‑focused environment.
- Proficiency in SQL and Python for data extraction, manipulation, and statistical modeling.
- Strong knowledge of quality management systems, root‑cause analysis techniques, and regulatory requirements (e.g., ISO 13485, FDA 21 CFR Part 820).
- Excellent communication skills with the ability to translate complex data insights into actionable recommendations.