The Senior Database Analyst will serve as part of a technical team to develop and maintain clinical research systems that meet institutional needs.
Serve as primary resource to collect, integrate, analyze and manage data from multiple areas and disparate systems to support divisional processes and decision-making for the division, including data integration, performing complex queries over large collections of clinical research data, and developing and maintaining key performance metrics for the division; Analyzes, develops, designs, implements and maintains new and existing divisional databases, including assessing requirements, reviewing database design, data modeling, technical documentation, and ensuring database security and consistency of standards, procedures and content to coordinate protocol research information management of assigned tasks within the Division of Cancer Predisposition with independent decision-making authority as defined by the Principle Investigators and the Division Director; Design and manage division’s data collection and sharing resources, to assemble, manipulate, analyze, and disseminates data; Provides divisional clinical and research reporting and analysis, including relevant data queries, acquisition and analysis; Advise, train and assist department personnel in the use of databases and other software, including developing training materials and leading formal and informal training sessions; Provides support for division’s hardware and software requests; Examine, diagnose, correct, and troubleshoot hardware and software issues. Work Location: Memphis, Tennessee. Work Schedule: 40 hours per week.
Requires either a Bachelor’s or Master’s degree (or foreign equivalent) in Business or Health Administration, Management Information Systems, or related field.
With Bachelor’s degree: Requires five (5) years of related progressive professional experience
With Master’s degree: Requires three (3) years of related progressive professional experience
This position also requires experience or education in each of the following:
• Use of relational database management tools and query language, such Hyperion, Oracle, SQL programming (e.g. - SQL*Plus), Microsoft SQL Server, Microsoft Access, and other data mining, query and analysis tools;
• Microsoft Office (Access, Excel, PowerPoint, Word) and statistical software skills;
• Skills in one or more traditional database and object-oriented programming languages (e.g. – FORTRAN, Basic, PL/SQL, Visual Basic, C++);
• Knowledge of client/server design principles;
• Knowledge of network and/or distributed computing environments;
• Knowledge of object-oriented analysis and software design;
• Ability to extract and analyze various types of data;
• Knowledge of supporting and troubleshooting of hardware and software systems.
Employer will accept any suitable combination of education, training or experience.
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