Intuitive (Nasdaq: ISRG), headquartered in Sunnyvale, Calif., is a global technology leader in minimally invasive care and the pioneer of robotic-assisted surgery. At Intuitive, we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.

Intuitive brings more than two decades of leadership in robotic-assisted surgical technology and solutions to its offerings, and develops, manufactures, and markets the da Vinci surgical system and the Ion endoluminal system.

We are seeking a skilled and proactive Data Analyst to join our Business Intelligence & Enablement team. The successful candidate will work closely with the Professional Education and Program Services (PEPS) department, focusing on analyzing data to uncover insights that drive data-driven decision-making, building dynamic reports, and developing insights for the adoption of new technologies and platforms. This role will play a key part in helping the organization monitor the state of the business, optimize growth strategies, and improve operational efficiency.

Essential Job Duties

• Support the PEPS department in implementing data solutions that improve the business's ability to anticipate trends and make proactive decisions.
• Analyze large and complex datasets to uncover patterns and insights that inform strategic and operational decisions within the PEPS department to ultimately establish the state-of-the-business.
• Develop predictive and prescriptive models to support forecasting, and optimization of business processes, outlining opportunities for growth and efficiency across each business unit.
• Perform statistical analysis and hypothesis testing to validate data-driven insights and recommendations leveraging current and unexplored key performance indicators (KPI).
• Work with cross-functional teams to develop data products and tools that support the adoption of new technologies and business intelligence solutions.
• Work closely with data engineers, finance, and other teams to ensure seamless integration of data science models into business intelligence platforms.
• Present clear, actionable insights to stakeholders, offering recommendations for performance improvement and efficiency gains.

Qualifications

Required Skills and Experience

• Strong analytical and problem-solving skills, with the ability to derive insights from complex data.
• Proficiency in building dynamic, interactive reports and dashboards.
• Proficiency in data visualization tools like Power BI, Tableau, or similar platforms.
• Experience with data querying languages (SQL) and working with large datasets.
• Proficiency in programming languages such as Python, R, or similar for data manipulation and analysis.
• Familiarity with cloud data platforms (e.g., AWS, Google Cloud, Azure)
• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
• Hands-on experience in building and deploying machine learning models, preferred.

Required Education And Training

• Minimum Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• MInimum 3+ years of experience in a data or financial analyst role, preferably within business intelligence, analytics, or a similar field.

Working Conditions

• Travel up to 10%

Preferred Skills And Experience

• Hands-on experience in building and deploying machine learning models
• Knowledge of web-based applications and web security best practices
• Familiarity with version control systems (Git)