Matt Brown
About Matt Brown
Matt Brown is a Senior Data Architect at Flock Safety in Nashville, Tennessee, with extensive experience in data analytics and business intelligence across various companies including Amazon and Gopuff.
Current Position at Flock Safety
Matt Brown is currently a Senior Data Architect at Flock Safety, based in Nashville, Tennessee. In this role, he leverages his extensive knowledge of data architecture to support the company's mission and operations.
Previous Experience at Gopuff
From 2021 to 2022, Matt Brown worked as a Senior Analytics Engineer at Gopuff in Nashville, Tennessee. During his one-year tenure, he focused on enhancing the company's analytics capabilities. His role involved handling complex data sets and developing advanced analytics solutions to support business decisions.
Past Roles at Amazon
Matt Brown has a significant history with Amazon, where he held multiple positions over several years. He worked as a Business Intelligence Engineer II in multiple departments, including Ops Tech IT and Amazon Flex, contributing to on-demand delivery solutions. He also served as a Business Intelligence Analyst II and a Brand Specialist, where he managed various business intelligence tasks and online marketing strategies. His tenure at Amazon helped him develop a strong background in profit and loss management, supply chain optimization, and inventory management.
Educational Background
Matt Brown studied at Indiana University Bloomington, earning a Bachelor of Science in Business with a focus on Marketing and Operations from the Kelley School of Business. He later attended the General Assembly, where he completed a Data Science Immersive program in 2016. During his time at General Assembly, he honed his skills in data science, which included training in ELT Data Modeling, SQL, Python, and various other technical skills.
Technical Skills and Certifications
Matt Brown holds a certification as a Tableau Desktop Certified Associate. He has admin-level expertise in Looker and Sigma and is proficient in ELT Data Modeling, including metric development, STAR modeling, and orchestration. His technical toolkit includes SQL, Python (Pandas, NumPy), Git + GitHub, dbt, Snowflake, and Redshift. This diverse skill set enables him to tackle complex data challenges and deliver robust analytics solutions.