Job description

Duties and Responsibilities: • Build product history profiles: • Compile multi-year product history from internal systems, exports, and spreadsheets into consolidated working data sets. • Document how products have been positioned, specified, and applied over time, and identify shifts in usage. • Establish a consistent profile format that can be applied across multiple product lines. • Evaluate markets and competitive positioning: • Research the markets served by each product line, including size, growth drivers, and customer segments. • Assess competitive alternatives and identify where CCM products are strongly or weakly positioned. • Summarize market trends and outside factors that influence product demand. • Develop situational models: • Build scenario-based models that show how portfolio changes could affect volume, mix, and customer impact. • Test assumptions and sensitivities, and clearly document the logic behind each model. • Design the models to be reusable so they can be applied to additional product lines. • Review product and specification code bodies: • Review applicable code bodies and specification listings for completeness and accuracy. • Document gaps, inconsistencies, and obsolete entries, and recommend corrections. • Build reporting tools: • Develop Excel models, pivot tables, and dashboards that make the analysis usable for ongoing decision-making. • Create a repeatable process and documentation so the work can be refreshed after the internship ends. Summarize findings and present recommendations: • Prepare written summaries and presentation materials for Product Management and Marketing leadership. • Present final conclusions and recommendations to the project team at the close of the internship. • Support cross-functional coordination: • Work with Product Management, Marketing, Technical Services, and Sales to validate data and resolve open questions. Qualification: • Currently pursuing a degree in Business, Marketing, Supply Chain, Engineering, Data Analytics, Economics, Construction Management, or a related field. • Strong Microsoft Excel skills required, including pivot tables, lookups, and building models with large data sets; experience with Power BI, Power Query, or similar tools is a plus. • Comfortable working with imperfect data from multiple sources and reconciling discrepancies. • Ability to think in scenarios: structure assumptions, test sensitivities, and explain trade-offs. • Coursework in data analysis, statistics, business analytics, market research, or financial modeling preferred. • Analytical mindset with strong attention to detail and accuracy. • Proficiency in Microsoft Word, PowerPoint, and Outlook. • Excellent written and verbal communication skills; able to explain findings clearly to a non-technical audience. • Self-directed and able to manage a project over a full semester with periodic check-ins. Additional Information: This is a Spring 2027 internship with an anticipated start date of January 2027, running through the end of the spring academic semester. The internship is located onsite in Carlisle, PA. Hours are Monday through Friday, 8:00 a.m. to 5:00 p.m. The scope covers multiple product lines; specific lines will be assigned at the start of the internship based on business priorities. The intern will report to and be mentored by the Product Management team and will have exposure to Marketing, Technical Services, and Sales. Our Culture & Values At Carlisle, our culture is grounded in a shared commitment to our core values: Start with Safety, Focus on Customers, Act with Integrity, Pursue Excellence, Better Every Day, Drive Innovation, and Deliver Results. These values are not just words—they guide our behaviors, decisions, and actions every day. They are the foundation of our business and the reason for our continued success. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact careers@carlisle.com. INFORMATION SECURITY ALERT All applicants for careers with Carlisle will be submitted through this site. Carlisle will not extend job offers without prior in-person or visual correspondence and we will not ask you to provide private personal information for a background check prior to extending a job offer. For more information, please review our Privacy policy.

Requirements

Must-haves

Compile multi-year product history from internal systems, exports, and spreadsheets into consolidated working data sets.
Document how products have been positioned, specified, and applied over time, and identify shifts in usage.
Establish a consistent profile format that can be applied across multiple product lines.
Research the markets served by each product line, including size, growth drivers, and customer segments.
Assess competitive alternatives and identify where CCM products are strongly or weakly positioned.
Summarize market trends and outside factors that influence product demand.
Build scenario-based models that show how portfolio changes could affect volume, mix, and customer impact.
Test assumptions and sensitivities, and clearly document the logic behind each model.
Design the models to be reusable so they can be applied to additional product lines.
Review applicable code bodies and specification listings for completeness and accuracy.
Document gaps, inconsistencies, and obsolete entries, and recommend corrections.
Develop Excel models, pivot tables, and dashboards that make the analysis usable for ongoing decision-making.
Create a repeatable process and documentation so the work can be refreshed after the internship ends.
Prepare written summaries and presentation materials for Product Management and Marketing leadership.
Present final conclusions and recommendations to the project team at the close of the internship.
Work with Product Management, Marketing, Technical Services, and Sales to validate data and resolve open questions.
Currently pursuing a degree in Business, Marketing, Supply Chain, Engineering, Data Analytics, Economics, Construction Management, or a related field.
Comfortable working with imperfect data from multiple sources and reconciling discrepancies.
Ability to think in scenarios: structure assumptions, test sensitivities, and explain trade-offs.
Analytical mindset with strong attention to detail and accuracy.
Proficiency in Microsoft Word, PowerPoint, and Outlook.
Excellent written and verbal communication skills; able to explain findings clearly to a non-technical audience.

Nice-to-haves

Strong Microsoft Excel skills required, including pivot tables, lookups, and building models with large data sets; experience with Power BI, Power Query, or similar tools is a plus.
Coursework in data analysis, statistics, business analytics, market research, or financial modeling preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

accessibility

Platform: smartrecruiters
Effort: medium