Intern, Insights and Analytics

BioMarin Pharmaceutical Inc. • Novato, CA

10d • $24 - $32

About The Position

The BioMarin Summer Internship Program will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, while gaining an insight into the pharmaceutical/biotech industry. Over the course of 10 - 12 weeks our interns gain industry experience while working alongside our talented team on meaningful projects.
The TOPS Insights & Analytics team is the central analytics partner for Technical Operations, combining expertise in operations and business analytics to translate complex manufacturing and supply chain data into clear, actionable insights. The team works closely with functions across TOPS to support efficient, reliable, and informed decision-making.
By applying strong analytical thinking, developing practical reporting and visualization tools, and uncovering key performance drivers, the Insights & Analytics team helps identify trends, anticipate challenges, and proactively manage operational risks. This work supports smarter planning, more resilient business processes, and data-driven strategies that strengthen Technical Operations as a whole.
JOB DESCRIPTION/PROJECT:
Supplier Risk Analytics
Support the refresh of a supplier and raw material risk-prioritization framework.
Extract, prepare, and integrate operational and procurement data from enterprise systems.
Update and maintain a risk-scoring model that incorporates usage, criticality, and performance factors.
Build and refine analytical dashboards to highlight high-risk suppliers and materials.
Summarize findings and present insights to cross-functional stakeholders.
Operational Workflow & Activity Modelling
Develop and enhance analytics dashboards using data from cross-functional workflow and tracking tools.
Model activity, resource, and performance metrics to support operational planning and process improvement.
Collaborate with business partners to validate data inputs and ensure accuracy of underlying datasets.
Present dashboard updates and insights to end users to support decision-making.
AI-Enabled Business Analytics (Model Context Protocol)
Assist in building semantically enriched data models designed for AI-assisted business analytics.
Help configure and prepare datasets for AI prompting and natural-language-driven analysis.
Explore use cases that demonstrate how AI can enhance reporting, insights, and decision support.
Document findings and contribute to development of best practices for AI-ready analytics models.

Requirements

• Strong communication and presentation skills
• Comfort working with cross-functional teams and managing multiple inputs
• Strong analytical and problem-solving abilities
• Experience with data querying or manipulation (e.g., SQL)
• Familiarity with data visualization tools (e.g., Power BI or similar)
• Basic understanding of data modelling concepts
• Ability to work with large datasets and maintain data accuracy
• Clear written and verbal communication skills
• Ability to collaborate effectively with cross-functional teams
• Strong organizational skills and attention to detail
• Student currently pursuing Master’s degree in a relevant field such as: Business Analytics Data Analytics Information Systems Industrial Engineering Operations Management Supply Chain Management Computer Science or a related analytical discipline
• Must be available to work full time, 40 hours a week.
• Must be currently enrolled as a full-time student at an accredited U.S. based university or college and enrolled in the fall term after the completion of the internship OR have graduated within 1 year of the start of the program.
• Must be able to relocate if necessary and work at the designated site for the duration of the internship for on-site, hybrid roles.

Nice To Haves

• Coursework or experience in business analytics, information systems, data modelling, or related fields
• Exposure to enterprise resource planning (ERP) or similar systems
• Experience with Python, R, or data automation tools
• Experience with analytical calculations or formula-based logic within data visualization or reporting tools
• Understanding of supply chain, manufacturing, or operational processes
• Familiarity with workflow or ticketing tools (e.g., JIRA)
• Interest in AI-enabled analytics or semantic data modelling

Responsibilities

• Support the refresh of a supplier and raw material risk-prioritization framework.
• Extract, prepare, and integrate operational and procurement data from enterprise systems.
• Update and maintain a risk-scoring model that incorporates usage, criticality, and performance factors.
• Build and refine analytical dashboards to highlight high-risk suppliers and materials.
• Summarize findings and present insights to cross-functional stakeholders.
• Develop and enhance analytics dashboards using data from cross-functional workflow and tracking tools.
• Model activity, resource, and performance metrics to support operational planning and process improvement.
• Collaborate with business partners to validate data inputs and ensure accuracy of underlying datasets.
• Present dashboard updates and insights to end users to support decision-making.
• Assist in building semantically enriched data models designed for AI-assisted business analytics.
• Help configure and prepare datasets for AI prompting and natural-language-driven analysis.
• Explore use cases that demonstrate how AI can enhance reporting, insights, and decision support.
• Document findings and contribute to development of best practices for AI-ready analytics models.

Benefits

• Paid hourly wage, paid company holidays, and sick time
• Apply skills and knowledge learned in the classroom to on-the-job experiences
• Comprehensive, value-added project(s)
• Develop skills specific to your major.
• Opportunities for professional development by building relationships and learning about other parts of the business.
• Participate in company all hands meetings, monthly community lunches
• Corporate office amenities such as: 24/7 on-site gym, coffee truck, snacks
• Access to Employee Resource Groups

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 1,001-5,000 employees