Ann Johnson

Ann Johnson

Senior System Analyst @ Maximus

About Ann Johnson

Ann Johnson is a Senior System Analyst at Maximus and Policy Studies, with extensive experience in business and systems analysis.

Current Roles

Ann Johnson currently holds the position of Senior System Analyst at Maximus in Reston, Virginia, United States, a role she has fulfilled since 2011. Additionally, she serves as a Senior IT Analyst at Policy Studies. Both positions entail significant responsibilities in systems analysis and IT management.

Previous Experience

Ann Johnson has an extensive professional background with various roles. She worked as a Senior Business Analyst at Methodical from 2010 to 2011. Before that, she was a Senior Business Systems Analyst at MetLife in New York, New York from 2007 to 2010. Her role at Great-West Healthcare as a Lead Systems Analyst spanned from 2001 to 2007. Ann also held positions as a Requirements Analyst and Designer at both Issi Condor Technology Asg from 2000 to 2001, and Interactive Software from 1984 to 2000.

Education

Ann Johnson attended the University of Colorado Boulder, where she studied Music Education and earned a Bachelor of Mechanical Engineering degree. This multidisciplinary education provides her with a unique blend of technical and creative skills, enhancing her analytical capabilities in her professional roles.

Specializations

Ann Johnson specializes in developing detailed software requirements specifications for legacy systems and HIPAA transactions, including standards such as 270/271, 820, and 834. This expertise places her in a critical role in ensuring compliance and functionality in healthcare transaction systems.

Technical Consultancy and Troubleshooting

Ann Johnson is proficient in facilitating Joint Application Development (JAD) sessions, ensuring that business needs are met efficiently. She consults with development teams on both high and low-level design and implementation strategies. Additionally, she assists in troubleshooting production issues by writing SQL queries and evaluating data history.

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