Technology Careers

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Tell me about one of the problems you are trying to help solve for clients?

The Tangible Asset Valuation team works with clients to value their personal property for financial or tax reporting purposes. We work with clients in all different industries, which means an engineering degree is helpful when visiting client sites and working with the plant managers or engineering teams to understand their assets. As a new joiner, I was amazed at the amount of data that our team analyzes for each client. It’s important to recognize what data is important, how to interpret it, and how to use it. Through my engineering education, I was taught how to think through problems and analyze data in the most efficient way. This skillset helps when working through modeling for clients and delivering the final product.

How does the work you are doing utilize your STEM skills?

When visiting client sites, a STEM background helps me to better understand the process occurring at the client site and the technology they are using in their business. Most of our time spent at a client site is with the engineers that are familiar with the equipment. Having a STEM background helps us better communicate with the engineers since we have familiarity with the equipment, processes and terms that they use.

What have you learned from your experiences?

As a new Associate, I’m still learning a lot! I think that having a STEM background definitely teaches you how to think through new situations or new challenges presented to you in an efficient way. In my work, I like that I am using my engineering background in a business setting to work with clients. It is also nice to be in a specialty practice where we become “go-to” experts in such a large Firm.

What skills would set students apart?

Analytical skills are important in order to work through new projects. Each project is different so using a set of analytical skills is important to figure out the task at hand. A senior on my team also talks about the importance of making a lot of data manageable; breaking a lot of data into pieces that you can understand. Data mining skills allow you to not get overwhelmed by thousands of line items, but break the data into manageable categories.

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