Blaine Berkowitz
Business Analyst@ Concentrix
Greensboro, North Carolina, United States
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Blaine Berkowitz is a highly experienced Business Analyst with over 36 years of experience in the Financial Services industry. He possesses excellent analytical, communication, testing, and problem-solving skills. Blaine has a strong background in system experience, including VANTAGE-ONE, CyberLife/CK4, and LIFE-COMM. He has extensive knowledge of the SDLC development cycle and has worked with Annuity/Variable Annuity, Indexed Annuities, Universal Life, Whole Life, and Term Life lines. Blaine is now seeking a new position and is an Accredited Genealogist (AG) and an Individual Life Insurance Broker.
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Emails and Phone Numbers

@aflac.com
@concentrix.com
@presidio.com
+1 801727****
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About

I am a Business Analyst with over 36 years experience in the Financial Services industry who possesses excellent analytical, communication, testing and problem solving skills. Multiple years of system experience including VANTAGE-ONE (14 years), CyberLife/CK4 (4 years), and LIFE-COMM (8 years). Extensive experience in defining customer needs, issue tracking and resolution, building and maintaining client trust. Knowledge of the SDLC development cycle and significant experience with the Annuity/Variable Annuity, Indexed Annuities, Universal Life, Whole Life and Term Life lines of the insurance business. The most recent unemployment period, March 2016 to November 2016, was due to a hospitalization. Now that I am recovered I am looking for a new position. As of 02/2017, I am now an Accredited Genealogist (AG) and an Individual Life Insurance Broker.

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Work Experience

39899 Balentine Dr. , Newark, California, 94560, US

IT Services and IT Consulting

162535
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Blaine Berkowitz's Professional Milestones

  • Call Center Representative (2015-11-01~2016-01-01): Driving customer satisfaction through exceptional care and attention to detail among call center staff.
  • Model Office Analyst I (1999-11-01~2000-11-01): Streamlined and improved models' performance, resulting in increased efficiency and improved overall machine learning capabilities.
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Education

Temple University
Temple University1992-1994