RAQA Data Analyst 3

Intuitive•Sunnyvale, CA

17d

About The Position

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies—like the da Vinci surgical system and Ion —have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare , you’ll find your purpose here. Primary Function of Position RAQA Data Analyst will be a member of the Quality Data Analytics (QDA) team and use technical expertise and a solid understanding of quality and regulatory business processes and needs to turn data into insightful information. The data analyst will work closely with various business teams to collect, clarify, and translate business data requirements into data solutions, reports and analytics as required. The analyst will be heavily involved with the use, distribution, and successful delivery of data and reports on a periodic basis. The successful candidate must excel in a high-energy, focused, small-team environment with profound understanding of Intuitive systems, product profile, company quality management system (QMS) as well as business processes. More importantly, the qualified candidate should have a good understanding of concurrent and legacy systems with extensive knowledge and hands-on experiences of using a variety of BI tools for dashboards, ability to work independently, communicate effectively with stakeholders, awareness of AI/ML concepts and their applications in data analysis while managing multiple projects in a fast-paced environment.

Requirements

Extensive experience in business intelligence, data mining, and reporting, with proven track record in delivering data solutions and dashboard reporting within quality and regulatory functions.
Knowledge of enterprise applications such as SAP ECC, S/4 HANA, Salesforce, TrackWise, Veeva with good understanding in assembling and analyzing system and logs data to deliver comprehensive data solutions.
Extensive hands-on experiences in analytics, strong proficiency in SQL, Python, and ability to efficiently extract data from multiple sources and utilize BI tool for visualization and reporting.
Strong analytical, problem solving, and critical thinking skills, with expertise in data visualization and data mining tools to translate complex data into actionable insight.
Experience in generating dashboards under shared computing environments such as EDW/Snowflake.
Demonstrate independent ownership of projects from end to end, establish project timelines with input from management, ensure timely and successful project delivery.
Knowledge of Quality Management Systems (QMS) and processes in compliance with global regulatory standards.
Awareness of AI/ML concepts and their applications in data analysis.
Highly motivated self-starter, strong organizational and project management skills with experience in cross functional collaboration, with the ability to prioritize tasks effectively and manage multiple projects simultaneously in a fast-paced environment.
Strong interpersonal, communication, and presentation skills with attention to detail.
Possess an outcome driven mindset to design and deliver business solutions.
Flexible working hours – occasionally may need to work off the normal working hours due to urgent business needs, e.g., audit support, field action investigation associated with high patient risk etc.
Bachelor’s degree with 5+ years of relevant experience, or Master’s degree with 3 years of relevant experience, or PhD degree without relevant experience in delivering data solutioning and/or dashboard reporting, preferably within quality and regulatory function unit.

Nice To Haves

Working experience in medical device, pharmaceutical, regulatory, or other related industries highly preferred.
Experience with advanced programming such as R for tool development and reporting is highly desirable.
Familiar with reporting practices across multiple regulatory agencies.
Familiar with Intuitive products is preferred.

Responsibilities

Develop and deliver data solutions to support RAQA business stakeholders such as Audit, Post Market Surveillance, Product Quality/Quality Operations, Regulatory Affairs, Supplier Quality, Quality Systems and Compliance.
Collaborate with key stakeholders to understand business processes, KPIs, metrics and critical needs for new requests and enhancements.
Extract and analyze business data from EDW (associates with data from various source systems such as SAP, CRM, Salesforce, TrackWise, Veeva) to meet reporting and analysis requirements.
Conduct deep dives analysis into data sets including system logs to uncover insights and key data trends.
Apply critical thinking and sound judgment in selecting appropriate methods and techniques to solve business problems.
Design actionable and insightful dashboards to support effective decision making and optimize data analysis processes to automate and standardize reporting.
Conduct code and application reviews to ensure adherence to best practices, troubleshooting issues as needed.
Transform query solutions into sustainable self-service reporting tool to drive operational efficiencies.
Integrate innovative data science approaches to automate processes and deliver impactful, data driven solutions.
Stay informed about business process changes for dashboard updates and enhancements, provide ongoing support for dashboards and reports, ensuring availability, performance, and reliability.
Create user documentation for internal team reference, outlining methodology and best practices to ensure consistent processes and knowledge sharing.
Assist in the development and validation of data analysis reports to meet software verification and validation requirements.
Ensure compliance with global regulatory standards while protecting intellectual property.
Conduct ad hoc analysis as needed to support business requirements and provide necessary assistance during audits.
Demonstrates awareness of AI and Machine Learning concepts and their applications in data analysis.
Perform additional duties as assigned.