Janine Norris

Janine Norris

Database Admin Specialist @ Argyle

About Janine Norris

Janine Norris is a Database Admin Specialist with over 20 years of experience in data management and administration, currently working at Argyle since 2021. She holds a Master of Social Work from Rutgers University and a Bachelor of Applied Science in Psychology from the University of Scranton.

Work at Argyle

Janine Norris has been employed at Argyle since 2016, initially serving as a Marketing Data Manager. In 2021, she transitioned to the role of Database Admin Specialist. In her current position, she focuses on data management and administration, applying her extensive experience to support Argyle's objectives. Her contributions include enhancing the company's digital content strategy by utilizing data insights to improve member engagement.

Education and Expertise

Janine Norris holds a Master of Social Work (MSW) from Rutgers University-New Brunswick, where she studied from 2001 to 2004. Prior to this, she earned a Bachelor of Applied Science (B.A.Sc.) in Psychology from the University of Scranton, completing her studies from 1994 to 1998. Her educational background complements her over 20 years of experience in data management and administration, particularly in marketing and database specialization.

Background

Janine Norris has over two decades of experience in data management and administration. Her career includes significant roles that blend marketing and database expertise. She has worked in the Greater New York City Area, where she has developed a strong understanding of how to leverage data for strategic decision-making and member engagement.

Achievements

Throughout her career, Janine Norris has made substantial contributions to data management practices. At Argyle, she has played a key role in enhancing the digital content strategy by applying data insights to improve member engagement. Her transition from Marketing Data Manager to Database Admin Specialist reflects her adaptability and commitment to leveraging data effectively.

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