Daniel Jones
About Daniel Jones
Daniel Jones is a Senior Analyst at Asurion with a background in data analytics and experience in creating dashboards using Power BI.
Current Role at Asurion
Daniel Jones currently holds the position of Senior Analyst at Asurion. He started working there in 2023 and operates in a hybrid model based in Nashville, Tennessee, United States. His role involves significant analytical work and requires a high level of expertise in data management and interpretation.
Previous Experience at FedEx Services
Before joining Asurion, Daniel Jones worked as a Data Analyst at FedEx Services from 2021 to 2023. His two-year tenure at FedEx Services in Nashville, Tennessee, United States, involved managing extensive data sets, performing data analysis, and contributing to various analytics projects.
Early Career at FedEx
Prior to his role as a Data Analyst, Daniel Jones spent seven years working as a Courier at FedEx. This role, which he held from 2014 to 2021, provided him with foundational experience in operations and logistics, setting the stage for his later transition into data analytics.
Education at Georgia Institute of Technology
Daniel Jones pursued his Master of Arts in Analytics at Georgia Institute of Technology. His advanced studies equipped him with comprehensive knowledge in analytics, further enhancing his capabilities in data interpretation and decision-making processes.
Bachelor's Degree from Southern New Hampshire University
Daniel obtained his Bachelor of Science in Data Analytics from Southern New Hampshire University, completing his degree in 2021 after two years of study. This program provided him with a solid foundation in data analytics techniques and methodologies.
High School Education
Daniel Jones graduated from Mt. Juliet High School in 2012, where he earned his High School Diploma. His time in high school laid the groundwork for his subsequent academic and professional pursuits.
Skills in Power BI and Data Engineering
Daniel Jones has specialized skills in creating and implementing dashboards using Power BI. Additionally, he has proficiency in data pipeline engineering utilizing SQL, Python, and R, which are essential for managing, analyzing, and visualizing data effectively.
Experience in Statistical Modeling
Daniel brings significant experience in statistical modeling, working on projects that involve both linear and nonlinear modeling using R. This expertise enables him to perform complex data analysis and derive actionable insights from diverse data sets.