Business Intelligence Data Analyst Intern

Summary

Join Intuitive's Business Intelligence & Enablement team as a Data Analyst, collaborating closely with the Professional Education and Program Services (PEPS) department. You will leverage your data analysis skills to uncover insights, build dynamic reports, and drive data-driven decision-making. This role is crucial for monitoring business performance, optimizing growth strategies, and enhancing operational efficiency. You will work with large datasets, develop predictive models, and present actionable insights to improve performance. The position requires proficiency in data analysis tools and programming languages. This is a remote internship opportunity.

Requirements

• Exceptional data 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 research
• 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 collaborators
• Must be currently enrolled in and returning to an accredited degree-seeking academic program in the Fall
• Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June
• Currently enrolled in Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Responsibilities

• Work closely with Data Science to help the PEPS department in implementing data solutions that improve the business's ability to anticipate trends and make proactive recommendations
• Research large and complex datasets to uncover patterns and insights that inform strategic and operational recommendations within the PEPS department to ultimately establish the state-of-the-business
• Aid in the development of predictive and prescriptive models to help forecasting, and optimization of business processes, outlining opportunities for growth and efficiency across each business unit
• Work with cross-functional teams to develop data products and tools that help 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 collaborators, offering recommendations for performance improvement and efficiency gains

Preferred Qualifications

• Engaged experience in building and deploying machine learning models
• Knowledge of web-based applications and web security best practices

Benefits

• Market-competitive compensation packages, inclusive of base pay (paid at an hourly rate), benefits, and a housing allowance
• Remote - This job will be remote and/or the job is designed to be performed outside of the office. Employees will come onsite when requested by the leader