Meaningful. Empowering. Remarkable. That’s a career at BAE Systems.

Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you tackle critical projects, you’ll work alongside a supportive team – driven by a shared ambition to protect what really matters. At BAE Systems, you’ll find a rewarding career that truly makes a difference.

BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, security and aerospace company headquartered in Arlington, VA, with locations across the country. We deliver a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services.

In this position, you will participate in BAE Systems' nationwide LEAP Internship & Co-op Program, where you will Learn, Engage, Apply, and Progress within the company. The LEAP Program will provide you with the opportunity to work alongside experienced professionals on impactful projects, engage in career development opportunities, and network with our business leaders and the other students in the program.

The Opportunity

BAE Systems in Mechanicsburg, PA is seeking a Summer 2024 Data Analyst Intern. Join our Strategic Weapon System Logistics Data Warehouse Team and become a member of a diverse, enthusiastic, and highly productive team, where each employee has the opportunity to grow their skills and work on rewarding projects for the US / UK TRIDENT Submarine Strategic Weapon System Logistics Program. The selected candidate work closely with numerous interdisciplinary IT and engineering teams by performing the following functions:

• Identifying valuable data sources and automate collection processes
• Undertaking preprocessing of structured and unstructured data
• Analyzing large amounts of information to discover trends and patterns
• Building predictive models and machine-learning algorithms
• Combining models through ensemble modeling
• Presenting information using data visualization techniques
• Proposing solutions and strategies to business challenges
• Collaborating with engineering and product development teams

Who You Are

• You are driven by mission
• You love working with a team and receiving input from others
• You are able to explain complex subjects concisely in person and in email
• You love finding new and creative ways to solve problems
• You constantly ask questions and love learning
• You are always anticipating your customer’s needs and working to exceed their expectations
• You live for details
• You are willing to put in the time and effort it takes to get the job done
• You are always looking for ways to do things better and faster
• You are constantly updating your to-do list and planning ahead
• You are more interested in getting the job done right than who gets credit
• You are a good judge of how long projects take to complete, and always alert others if things get off track

Required Education, Experience, & Skills

• Enrolled student at an accredited 4-year college / university having completed a minimum of two years (rising Junior)
• Working towards a Data Analytics, Computer Science, Computer Engineering, Information Systems, System Integration (Software) or other degree with suitable data analysis content
• Demonstrated self-starter with organizational, planning, and follow-up skills
• Excellent oral and written communication skills, interpersonal skills, and ability to work effectively with others
• A drive to learn and master new technologies and techniques
• Strong problem solving skills with an emphasis on product development
• Ability to work collaboratively with remote team members leveraging an application like Microsoft Teams

Preferred Education, Experience, & Skills

• Familiarity with Informatica
• Experience with Supply Chain data and/or management
• Experience querying databases and using statistical computer languages (e.g., R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
• Experience working with and creating data architectures
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.