Business Intelligence Intern

Give hope. Give health. Make your mark in the fight against cancer. At Accuray, we make a direct and powerful impact on the lives of cancer patients every day — helping them live longer, better lives. But our commitment to innovation offers a truly unique opportunity: the chance to change the fight against cancer — helping to develop, introduce and support new treatment delivery systems and software that will give new hope and new health to cancer patients and cancer survivors around the world.

Accuray develops, manufactures and sells radiotherapy systems for alternative cancer treatments. Our radiation therapy for cancer makes treatment shorter, safer, personalized and more effective, ultimately enabling patients to live longer, better lives.

As a Data Analytics Intern, you will be responsible for designing, developing, and maintaining dashboards, AI agents, and other data visualization tools to support strategic decision‑making throughout Accuray’s Global Service division. This position will be based onsite at our headquarters in Madison, WI. The target start date for this role is Summer 2026 and has potential to be extended part‑time into the 2026‑2027 academic year.

• Design, develop, and assist in maintaining data visualization tools like dashboards, reports, and AI agents for business stakeholders.
• Contribute to data cleansing, transformation, and enrichment processes to ensure data accuracy and quality.
• Participate in requirements gathering sessions to understand the information needs of different departments.
• Learn and utilize data visualization tools (e.g., Power BI) to present data in meaningful ways.
• Support ad‑hoc data analysis requests from across the company.

• Personal Excellence
• Proactively conveys appropriate information in a timely manner and useful format.
• Communicates effectively using verbal discussion, short‑form writing, long‑form technical documentation, and visual design.
• Actively listens.
• Acts with integrity and a consideration of the ethical implications of requested development.
• Conducts themselves with a professional bearing, investing time to show care and respect to peers.
• Positive attitude and willingness to expand skillset and scope of work.
• Teamwork
• Meets or exceeds individual goals and commitments.
• Collaborates to solve problems.
• Balances grit and determination in independent problem‑solving with a sense of when to proactively elevate for additional support.
• Is responsive and acts with speed, conviction and a sense of urgency when required.
• Demonstrates enthusiasm and a willingness to take on new challenges, responsibilities, and assignments.
• Drive for Results
• Understands how own role contributes to the overall success of the organization.
• Effectively prioritizes effort on the highest priority goals and objectives.
• Demonstrates problem‑solving ability with an emphasis on identifying root causes.
• Advocates for innovative ideas by continuously challenging the status quo and suggesting process improvements.
• Leverages defined processes and seeks appropriate guidance to reach good decisions.

• Pursuing a bachelor's or advanced degree in Business Analytics, Data Science, Computer Science, Industrial Systems Engineering, or similar, from an accredited college or university
• Sophomore, Junior, Senior, or graduate‑level student in good academic standing
• Demonstrated ability to manage time and priorities over projects that span multiple months
• Solid understanding of basic business concepts and the role of data in decision‑making
• Familiarity with best practices in data visualization design
• Familiarity with data manipulation and querying languages (e.g., SQL)
• Excellent critical thinking skills and attention to detail
• Effective communication skills and ability to work in a collaborative team environment

• Proficiency with Power BI.
• Coursework or projects related to business intelligence, data analysis, or data visualization.
• Proficiency in using SQL or Python for the manipulation of big data.
• Advanced knowledge of semantic modeling and more general data modeling
• Familiarity with the utilization of…