CCM Data Governance - Intern Summer 2027
Danaher Corporation
Summary
The Data Analytics Intern is responsible for supporting business decisions through data analysis, reporting, data engineering, and process automation. This role will develop and maintain data pipelines, build Power BI dashboards, validate and transform data, identify business trends, and provide actionable insights to stakeholders.
Job description
This position reports to the Sr. Manager, Data Governance, and is part of the Data Governance Team located in Logan, UT and will be an on-site role.
What you will do:
- Work directly with Managers, Product Engineers, Design Engineers, Packaging Engineers, System Specialists, Quality System Engineers, and other business stakeholders to solve problems using data and analytics.
- Build and maintain data pipelines, reporting solutions, and business intelligence tools that transform raw data into reliable, actionable information.
- Own projects from start to finish, using production, sales, pricing, quoting, and financial data to identify opportunities, improve processes, and drive business results.
Who you are:
- Pursuing a degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Finance, Engineering, or a related field.
- Demonstrated ability to analyze complex data, think critically, and translate findings into actionable recommendations.
- Self-motivated with strong organizational skills and a willingness to take ownership of projects from concept through implementation.
- Interested in developing expertise in data engineering, automation, business intelligence, and analytics while working on real-world business challenges
It would be a plus if you also possess previous experience in:
- Power BI development, data modeling, and dashboard design.
- SQL, Python, automation, or data engineering projects involving large datasets.
- Building data pipelines, data validation processes, or reporting infrastructure.
- Working with operational, financial, sales, pricing, or production data to support business decisions.
Requirements
- Pursuing a degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Finance, Engineering, or a related field.
- Demonstrated ability to analyze complex data, think critically, and translate findings into actionable recommendations.
- Self-motivated with strong organizational skills and a willingness to take ownership of projects from concept through implementation.
- Interested in developing expertise in data engineering, automation, business intelligence, and analytics while working on real-world business challenges
Benefits
- Health care program
- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
Company overview
Danaher Corporation is a leading global science and technology innovator headquartered in Washington, D.C., specializing in biotechnology, life sciences, and diagnostics. Founded in 1984 by brothers Steven and Mitchell Rales, the company has evolved from its origins as a manufacturing conglomerate into a premier healthcare technology organization with approximately 63,000 employees worldwide. Danaher operates through three core divisions: biotechnology (28% of revenues), which develops products for therapeutic development; life sciences (31% of revenues), focused on disease identification, new therapies, and drug testing/manufacturing; and diagnostics (41% of revenues), providing instruments, consumables, and software for disease diagnosis. The company's portfolio includes renowned brands such as Beckman Coulter, Cytiva, Pall Corporation, Cepheid, Leica Microsystems, and Abcam, serving pharmaceutical companies, biotechnology firms, healthcare providers, and research institutions globally. Danaher is distinguished by its Danaher Business System (DBS), a continuous improvement methodology that drives innovation and operational excellence. With 2024 revenues of $23.9 billion, the company ranks 180th on the Fortune 500 and plays a critical role in advancing scientific research, improving diagnostic capabilities, and accelerating the development of life-saving therapies.