Andrew J.

Andrew J.

People Analytics @ NBA

About Andrew J.

Andrew J. is a People Analytics professional at the NBA, with a background in data science and analytics from Unilever, Wunderman, and LG Electronics, and holds advanced degrees from New York University and Boston College.

Current Role at National Basketball Association

Andrew J. is currently employed at the National Basketball Association (NBA) as a People Analytics specialist since 2019. Based in New York, New York, his role focuses on leading HR and Team People Analytics initiatives. His work involves deriving insights from data to enhance organizational performance, leveraging advanced analytical skills to inform strategic decision-making.

Previous Experience at Unilever

Before joining the NBA, Andrew worked at Unilever as a Senior Data Scientist and Analytics Specialist from 2017 to 2019 in the Greater New York City Area. During his two-year tenure, he specialized in People Analytics, utilizing data to inform HR strategies and improve workforce management. His role demanded a high level of expertise in data analysis and business intelligence.

Professional Experience at Wunderman

Andrew J. held the position of Data Analytics at Wunderman from 2015 to 2016 in the Greater New York City Area. In this capacity, he was responsible for analyzing data to support various business needs. His work contributed to the agency’s ability to deliver data-driven marketing strategies for clients.

Educational Background

Andrew's academic background is extensive and includes a Bachelor's of Science (BS) from Boston College, completed in 2011. He then achieved a Master of Science (MS) from New York University, specializing in Database Technologies and Strategy, from 2013 to 2015. Further honing his skills, he earned a Certificate from General Assembly between 2016 and 2017. His education provided him with a robust foundation in data warehousing, mining, and web application database technologies.

Technical Proficiencies

Andrew J. possesses advanced skills in Python, SQL, and Excel, which are crucial for his work in data analysis and business intelligence. These technical proficiencies enable him to perform complex data manipulations, develop predictive models, and generate strategic insights that drive business performance. His expertise in these tools is one of the key factors behind his successful career in analytics.

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