Justin John
About Justin John
Justin John is a Data Engineering Associate at FS Investments, where he mentors interns and leads data-driven projects to improve business performance. He has a background in data analytics and engineering, utilizing various technologies to optimize data management and reporting.
Work at FS Investments
Justin John has been employed at FS Investments since 2023 as a Data Engineering Associate. In this role, he leads the Corporate Systems team, focusing on executing data-driven projects to improve business performance and efficiency. He has previously held positions at FS Investments, including Data Analytics Analyst from 2021 to 2022 and Data Engineering Analyst from 2022 to 2023. His responsibilities include partnering with Sales Operations to maintain and optimize sales dashboards, ensuring data accuracy, and implementing data management practices.
Education and Expertise
Justin John is currently studying at the Fox School of Business at Temple University, pursuing a Bachelor of Business Administration (B.B.A.) in Finance, General, which he has been working on since 2019. He also holds a Certificate in FinTech from the University of Pennsylvania, which he completed from 2020 to 2021. His technical expertise includes proficiency in Python, SQL, dbt, Azure Databricks, Snowflake, and Tableau, which he utilizes to design and implement data platforms and pipelines.
Background
Prior to his current role at FS Investments, Justin John gained experience in various positions. He worked as a Vehicle Pricing Intern at Subaru of America from 2018 to 2019 and as a Retirement Investment Summer Analyst at CamaPlan in 2018. He also served as a Financial Management Associate at Lockheed Martin from 2020 to 2021 and participated in an Early Access program at TD in 2017. His diverse background has contributed to his skill set in data engineering and analytics.
Achievements
Justin John has made significant contributions to FS Investments, including establishing an advanced analytics framework for strategic decision-making for the HR team. He has also engineered analytics-driven solutions for Human Resources data automation using APIs, AWS Lambdas, S3, Snowflake, and Tableau. Additionally, he collaborated with Marketing teams to optimize dashboards, achieving a 95% reduction in loading times by transitioning from Google Data Studio to Tableau. He also mentors interns through the Data Engineering team's co-ops program, fostering their professional development.