Matthew King
About Matthew King
Matthew King is a SQL Solutions Business Analyst currently working at Spencer Stuart in Chicago, Illinois. He has a background in electrical engineering and industrial automation, with expertise in data cleaning, analysis, and visualization using Excel, SQL, and Tableau.
Current Role as SQL Solutions Business Analyst
Matthew King currently serves as a SQL Solutions Business Analyst at Spencer Stuart, a position he has held since 2022. Based in Chicago, Illinois, he applies his expertise in data cleaning, analysis, and visualization to support business operations. His role involves leveraging SQL to derive insights from data, facilitating informed decision-making within the organization.
Previous Experience at Spencer Stuart
Prior to his current role, Matthew worked at Spencer Stuart as a SQL Business Analyst from 2021 to 2022. During his 11 months in this position, he focused on data analysis and contributed to various projects aimed at enhancing data-driven strategies within the firm. His experience at Spencer Stuart laid the groundwork for his transition to his current role.
Educational Background in Electrical Engineering
Matthew King earned a Bachelor's Degree in Electrical Engineering from the University of Notre Dame, where he studied from 2013 to 2017. This educational background provided him with a solid foundation in engineering principles, which he later integrated with his data analytics skills. His academic experience has been instrumental in shaping his technical approach to problem-solving.
Data Analytics Certification from NYU Tandon School of Engineering
In 2021, Matthew completed a Tableau Data Analytics Certificate at NYU Tandon School of Engineering. This program, which he pursued for 11 months, equipped him with advanced skills in data visualization and analytics. The knowledge gained from this certification complements his engineering background, enhancing his ability to analyze and interpret complex data sets.
Experience in Industrial Automation
Matthew has a robust background in industrial automation, having accumulated four years of experience in the field prior to his shift to data analytics. His roles included positions as a Controls Engineer and Electrical Control Engineer at various companies, where he developed technical solutions to complex business challenges. This experience has informed his analytical approach and ability to integrate engineering principles with data-driven insights.