Dalton Nisbett
About Dalton Nisbett
Dalton Nisbett is a Business Analyst at The Reynolds and Reynolds Company in Dayton, Ohio, where he focuses on aligning software features with business needs. He holds a Bachelor's degree in Mathematics from Miami University and has experience in software development, data analytics, and effective communication with business users.
Work at Reynolds and Reynolds
Dalton Nisbett has been employed at The Reynolds and Reynolds Company as a Business Analyst since 2022. In this role, he engages in effective communication with business users to ensure that software features align with business value. He analyzes current processes to identify opportunities for improvement in enterprise software applications. Nisbett also contributes to the design and testing of these applications and works closely with the software development team to manage the development of internal software tools.
Education and Expertise
Dalton Nisbett earned a Bachelor's degree in Mathematics from Miami University, where he studied from 2017 to 2022. His academic background provides a strong foundation for his analytical skills, which he applies in his current role. Nisbett utilizes SQL and Python in his professional responsibilities, enhancing his ability to analyze data and improve software applications.
Previous Work Experience
Prior to his current position, Dalton Nisbett worked in various roles that contributed to his professional development. He served as a Research Assistant at Miami University for three months in 2020. In 2022, he worked as a Software Developer at The Reynolds and Reynolds Company for four months and as a Data Analytics Intern at ResCon Technologies, LLC for three months. Additionally, he was a Tennis Instructor at the United States Tennis Association in 2018 and served as Standards Board Secretary for Alpha Sigma Phi Fraternity from 2018 to 2019.
Professional Skills
Dalton Nisbett possesses strong analytical and technical skills, particularly in SQL and Python. His role as a Business Analyst involves analyzing processes and identifying areas for improvement in enterprise software applications. His experience in software development and data analytics further enhances his ability to contribute effectively to software projects and collaborate with development teams.