Julia Hunter
About Julia Hunter
Julia Hunter serves as the Growth Officer at Datrics, where she specializes in implementing no-code solutions for analytics and machine learning. She has a background in business analysis and audit analytics, with previous experience at Amazon and PwC.
Work at Datrics
Julia Hunter serves as the Growth Officer at Datrics.ai, a position she has held since 2020. In this role, she focuses on driving growth initiatives and enhancing the company's market presence. Julia has contributed to the company's participation in the Y Combinator Winter 2021 batch, which is known for supporting innovative startups. Her expertise in implementing no-code solutions for analytics and machine learning plays a significant role in Datrics' strategy to streamline data experimentation processes.
Previous Experience at Amazon
Julia Hunter worked at Amazon for a total of five years, from 2009 to 2014. She began her tenure as an Operations Analyst Intern from 2008 to 2009, where she gained foundational experience in operational analytics. Following her internship, she transitioned to a Business Analyst role, where she contributed to various projects until 2014. Her time at Amazon provided her with valuable insights into data-driven decision-making and operational efficiency.
Experience at PwC
Julia Hunter was employed at PwC as a Lead Audit Analytics from 2014 to 2020. In this role, she focused on leveraging data analytics to enhance audit processes. Her six years at PwC allowed her to develop a strong background in audit analytics, further refining her skills in data experimentation and analysis. This experience has been instrumental in her subsequent roles in the tech industry.
Education and Expertise
Julia Hunter earned her Master of Business Administration (MBA) from the University of Mississippi, where she studied Business Administration and Management from 2003 to 2008. Her educational background has equipped her with a solid foundation in business principles, which she applies in her current role at Datrics. Julia specializes in no-code solutions for analytics and machine learning, reflecting her commitment to making data analysis accessible to a broader audience.