Placement Student - Data Analyst

• Assist in requirements gathering: Work with different business stakeholders (engineers, project managers, Product Lifecyle Management (PLM) IT and Corporate IT) to understand their needs for the PLM system.
• Analyze PLM: Work with large datasets from the PLM system to identify trends, such as common design changes, product component reuse, or bottlenecks in the product development process.
• Conducting research on new technologies, tools, or best practices to inform the solution design
• Supporting the creation of design documents, specifications, or technical diagrams that outline the solution’s architecture.
• Writing and testing code or configuring software components under the guidance of a senior team member
• Design and implement innovative solutions in collaboration with the team and present the final outcome to the customer.

• Studying towards a STEM related degree. Computer science, data engineering and Software engineering are most desirable but not essential.
• Communication Skills: The ability to articulate complex technical ideas clearly and effectively to both technical and non-technical audiences.
• Knowledge in Computer Science, Software applications and Product Lifecycle Management is beneficial.
• Understanding the Data Bricks will be very helpful and Interested in Big Data Analysis

• FSA With Employer Contribution
• Health Reimbursement Account
• On-Site Gym
• HSA With Employer Contribution
• Health Insurance
• Dental Insurance
• Vision Insurance
• Life Insurance
• Short-Term Disability
• Long-Term Disability
• Parental Benefits
• Non-Birth Parent or Paternity Leave
• Birth Parent or Maternity Leave
• Work Flexibility
• Flexible Work Hours
• Remote Work Opportunities
• Office Life and Perks
• Company Outings
• Casual Dress
• Vacation and Time Off
• Leave of Absence
• Personal/Sick Days
• Paid Holidays
• Financial and Retirement
• Relocation Assistance
• Performance Bonus
• Stock Purchase Program
• Pension
• 401(K) With Company Matching
• Professional Development
• Mentor Program
• Shadowing Opportunities
• Access to Online Courses
• Lunch and Learns
• Tuition Reimbursement
• Diversity and Inclusion

At Cummins, we believe people should feel continuously challenged and engaged, making meaningful contributions and growing in their careers.