2026 Internship - Operations Analyst

Are you interested in using data to improve operational performance and service quality?

Do you enjoy organizing structured and semi-structured data, identifying trends, and translating findings into clear, actionable insights?

If you're pursuing a degree in data analytics, operations management, business, facilities management, or a related field and want to gain hands-on experience applying analytics to real-world facilities operations, we'd love to have you join our team!

We are seeking an Operations Data Analytics Intern to support our housekeeping group by analyzing operational and quality data collected through GoCanvas and Orange QC. As a member of our team, you'll help transform daily activity logs and quality audit results into structured insights that support performance management, operational reviews, and leadership discussions. You will be joining a collaborative facilities team focused on service delivery, operational consistency, and continuous improvement across offices, labs, cleanrooms, cafes, warehouses, and other campus spaces.

Our team values analytical thinking, organization, and clear communication. We are committed to using data-driven approaches to improve quality, productivity, and compliance while fostering an environment of learning and professional growth.

As a member of our team...

Your primary responsibility will be analyzing housekeeping operational and quality data to help define, normalize, and present key performance metrics.

You will ...

• Analyze daily housekeeping activity data from GoCanvas, including work performed, locations serviced, and labor inputs
• Analyze quality audit data from Orange QC to identify trends, repeat findings, and performance gaps by space type
• Assist in normalizing operational and quality metrics into a simple, comparable scorecard framework
• Identify correlations between workload, staffing patterns, and quality outcomes
• Help define and document baseline metrics for productivity, quality, and compliance
• Develop summary tables, charts, and visuals to support internal reviews and leadership briefings
• Document data definitions, assumptions, and recommended next steps for future analysis
• Assess data completeness and consistency within operational datasets
• Identify common data entry gaps, inconsistencies, or standardization opportunities
• Support development of a leadership-ready scorecard layout and review cadence

You meet our minimum qualifications for the job if you...

• Are pursuing a Bachelor's or Master's degree in data analytics, operations management, business, facilities management, or a related field
• Have strong analytical skills and the ability to interpret operational and quality data
• Are proficient in Excel or similar data analysis and visualization tools
• Have strong attention to detail and can work with structured and semi-structured datasets
• Have a minimum 3.0 GPA on a 4.0 scale
• To access APL's facilities and networks, U.S. Citizenship or permanent resident status is required, subject to applicable laws

You'll go above and beyond our minimum requirements if you...

• Have experience working with structured or semi-structured datasets
• Are familiar with operational metrics, KPIs, or performance scorecards
• Have basic knowledge of data visualization and presentation best practices
• Can translate analytical findings into clear, non-technical insights
• Have strong time-management skills in short-duration or project-based work

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities athttp://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contactAccommodations@jhuapl.edu.

The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.