Melissa John
About Melissa John
Melissa John is a Business Intelligence Manager at Weave HQ, where she has worked since 2020, overseeing a team of analysts and collaborating with product owners on project objectives. She has a background in data analysis and management, having previously held various roles at Ancestry and Brigham Young University.
Work at Weave
Melissa John has been serving as the Business Intelligence Manager at Weave HQ since 2020. In this role, she collaborates with product owners to define project scope and objectives. She has developed and implemented a data warehouse strategy that enhances data management and reporting processes. Additionally, Melissa facilitates various Scrum-related meetings, including daily stand-ups and sprint planning, ensuring effective team collaboration. She manages a team of six analysts, guiding them in their tasks and projects.
Previous Experience at Ancestry
Before joining Weave, Melissa John worked at Ancestry for several years in various roles. She began as a Data Quality Analyst from 2011 to 2013, followed by a position as a Business Analyst from 2013 to 2015. She then advanced to the role of Senior Business Analyst from 2015 to 2018, and later served as the Marketing Analytics Manager until 2020. Her experience at Ancestry provided her with a strong foundation in data analysis and business intelligence.
Education and Expertise
Melissa John earned her Bachelor of Science degree in Biostatistics from Brigham Young University, where she studied from 2007 to 2011. Her academic background in biostatistics equips her with the analytical skills necessary for her roles in business intelligence and data analysis. She also gained practical experience at Brigham Young University, serving as a Teaching Assistant from 2009 to 2011 and as a Research Assistant for three months in 2011.
Team Management and Reporting
In her current position at Weave, Melissa John manages a team of six analysts. She is responsible for reporting key insight trends to the executive team, utilizing statistical rigor to ensure accuracy and relevance in her findings. Her role requires a strong understanding of data analytics and the ability to communicate complex information effectively to stakeholders.