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Advanced Analytical Developer
Ref No.: 19-00312
Location: Chapel Hill, North Carolina
Position Type:Direct Placement
Duration: Permanent
Compensation: OPEN

Advanced analytics has a tremendous opportunity to impact disease progression using intelligently-built tools, and this role will play a key part in that effort to aid clinicians in this effort. We seek candidates with a combination of strong knowledge of data models, software engineering experience, and machine learning skills.

  • Innovative enterprise wide reporting
  • Business intelligence enterprise software suite, advanced analytical software, bespoke analytical models,
  • Troubleshoots system, application, and user issues resulting from the use and/or release of functionality.
  • Design and Development - Leads the full life-cycle development activities for creating and maintaining BI and analytics solutions.
  • Participates in the development of application processes (i.e. scripting, coding, testing installation and configuration).
  • Provides detailed analysis of data issues, data mapping, and the design of processes for automation and enhancement of data quality.
  • Designs and implements database tables, queries, and stored procedures to support development. Develops user experiences supporting the reporting and analysis capabilities using standard analytical products, web development tools, programming languages, and/or software product configuration. Interfaces with relevant stakeholders to assist in life-cycle activities such as requirements gathering, research activities, and solution architecture and design. Presents technical solutions to client stakeholders.
  • Prior experience analyzing healthcare-related clinical, financial, and/or administrative data and experience in developing complex reports utilizing drill down, drill through, and sub reports using business intelligence technologies (e.g., Business Objects, Crystal Reports). High proficiency in SQL Query programming such as stored procedures, functions, temporary tables, parameterization, complex joins and groupings. 
  • Strong data visualization concepts and techniques. Excellent analytical, conceptual and problem-solving abilities. Highly self-motivated, self-directed and attentive to detail. Excellent and proven project management skills. Excellent listening, interpersonal and communication skills.