Ja Nelle Horne
About Ja Nelle Horne
Ja Nelle Horne is a Programmer Analyst III on the Ecommerce Data Team at Advance Auto Parts, where she has worked since 2012. She has extensive experience in data management and software application development, with a background in Information Systems from Virginia Commonwealth University and Strayer University.
Work at Advance Auto Parts
Ja Nelle Horne has been employed at Advance Auto Parts since 2012, serving as a Programmer Analyst III in the Ecommerce Data Team. In this role, she is responsible for managing data models across various environments, including production, testing, and development databases. Her work involves ensuring compliance with programming standards and conventions. Horne specializes in developing and maintaining data dictionaries and metadata, contributing to the overall efficiency and accuracy of data management within the organization.
Previous Experience at CSC
Before joining Advance Auto Parts, Ja Nelle Horne worked at CSC as an Application Designer Professional from 2009 to 2011. During her two years at CSC, she gained experience in application design and development, which laid the foundation for her current role in data analysis and management. This experience provided her with valuable skills that she applies in her current position.
Education and Expertise
Ja Nelle Horne holds a Bachelor of Science degree in Information Systems from Virginia Commonwealth University. She further advanced her education by obtaining a Master of Science degree in Information Systems with a focus on Decision Support Systems from Strayer University. Her academic background equips her with a strong foundation in data analysis, software application development, and decision support technologies.
Technical Skills and Specializations
Ja Nelle Horne possesses extensive technical skills in various areas relevant to her role. She is experienced in using ETL tools, specifically Pentaho Kettle, for data extraction, transformation, and loading. Horne has a strong understanding of UNIX, SQL, and Data Modeling. She specializes in designing and developing stored procedures and optimizing SQL query performance, which enhances the efficiency of data processing and retrieval.