Yogita M Rawat
About Yogita M Rawat
Yogita M Rawat is a Data Analyst with extensive experience in data visualization and workflow automation. She has worked at Bechtel Corporation and Nucleus Software, and currently holds a position at DPR Construction, specializing in People Analytics and data warehousing.
Work at DPR Construction
Yogita M Rawat has been employed at DPR Construction as a Data Analyst since 2021. She works in Phoenix, Arizona, where she applies her expertise in data analysis to support the company's operations. Her role involves utilizing advanced data visualization tools and techniques to enhance decision-making processes within the organization.
Previous Experience at Bechtel Corporation
Prior to her current position, Yogita worked at Bechtel Corporation as a Data Analyst from 2018 to 2021. During her three years in Glendale, Arizona, she focused on improving data visualization and workflow automation. Her contributions helped streamline processes and enhance data-driven decision-making within the company.
Experience at Nucleus Software
Yogita M Rawat served as an Assistant Manager at Nucleus Software from 2008 to 2015. Her seven-year tenure in Noida, Uttar Pradesh, India, involved managing data-related projects and contributing to the development of analytical solutions. This experience laid the foundation for her subsequent roles in data analysis.
Education and Expertise
Yogita holds a Master of Business Administration (M.B.A.) from JSS Academy, completed from 2006 to 2008. She also earned a Master of Science (M.S.) in Information Management from Arizona State University in 2018. Additionally, she obtained a Bachelor's Degree in Computer Science from Shaheed Sukhdev College of Business Studies, which she completed in 2005. Her educational background supports her specialization in People Analytics and her proficiency in tools such as Power BI, Snowflake, and DBT.
Technical Skills and Specializations
Yogita M Rawat specializes in People Analytics, focusing on deriving insights from data related to workforce trends and performance. She is proficient in R programming and SQL, which she uses to analyze complex datasets. Her skills in Power BI and Power Automate enhance her ability to create effective data visualizations and automate workflows, contributing to her overall effectiveness as a Data Analyst.