Amanda Bayless: Data and Business Analytics | Solution in Search of a Problem
Amanda Bayless's Bio:
Amanda Bayless's Experience:
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Data Coordinator / Asst. Clinical Data Analyst at Quintiles
November 2012 - October 2013o Spearheaded departmental implementation of SAS programming for complex problem solving and querying. o Saved hundreds of man-hours whilst ensuring uncompromising study integrity by creating a SAS program that efficiently identifies blinding errors. o Recognized for two separate 2013 Applause Awards for transcending normal job responsibilities by creating a specialized training program for team members and for streamlining database creation processes. o Compose and disseminate data metrics reports for management, clients, and authorities to help measure productivity, the overall quality of data deliverables, and to assess the functions of the data management, clinical project, or CRO teams involved. o Train staff on technical procedures and software program usage to maintain awareness of current database technology and best practices. o Generate data queries based on validation checks, errors and omissions identified during data entry to resolve identified problems.
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Sommelier, Lead Trainer, Server at Seasons 52
August 2006 - December 2007o Used expertise to suggest superb food and wine pairings to clientele. o Maintained quality standards as Lead Trainer for all Front-of-House positions. o Premiered new upscale concept to the Atlanta market.
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Business Data Analyst at MarketSource
October 2013o Currently creating a data warehouse to transition the collection and storage of financial data from multiple source systems, enabling a central view of financial data while strengthening data integrity. o Overhauling the compensation structure for employees by leading a multi-departmental team in developing, validating, and implementing a spread based process to better align pay and performance.
Amanda Bayless's Education:
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Kennesaw State University
2008 – 2013Bachelor's of Science
Amanda Bayless's Interests & Activities:
SAS, SAS Programming, Data Analysis, Numerical Analysis, Metrics, Metrics Reporting, Statistics, Statistical Analysis, R Programming, SQL, Mathematics, Reporting, Statistical Modeling, Regression, Correlation, Predictive Analysis, Predictive Modeling, Data Mining, Decision Trees, Clustering, Segmentation, Data Management, and Doctor Who.