Data analyst

Position Description:

• An Informatics Data Analyst works independently to document external data acquisition policies and procedures as well as interface with other business units to define and document data needs and ad-hoc analysis requirements; identify business practice workflow and process issues and concerns; provide leadership and guidance to define system and process requirements that will optimize system performance and technology utilization by system users; and design information systems and technologies that ensure access and transparency.
• The Informatics Data Analyst will develop, implement, organize, and maintain information and reports to document operational and financial performance; collaborate with the quality team, administrators, etc., to design the ad hoc and other relevant routine reports; monitor the quality programs and make efforts to improve them; compile data from multiple sources and import the data into the relevant database; select appropriate tools and methods to maintain the existing programs that ensures there is appropriate transfer of data and that all the reports are documented well to increase the efficiency; assist with analysis of external data definitions documentation and mapping process; perform a Quality Assurance function for the data integration processes and repository metrics; collaborate with other staff to document data needs and metric definitions; validate data load processes and the quality of the data loaded into data repositories; maintain, store, map and analyze data in compliance with policies and procedures; coordinate with LAN and IT Security teams in order to utilize PGP encryption software and File Transfer Protocols; and use software such as SAS, Access, and Excel to provide data mapping for integration using Business Objects, and SQL.

Skills Required:

• The Informatics Data Analyst will possess knowledge and experience in basic statistical concepts; identifying the trends, business opportunities, and relevant issues; commonly-used demographics and databases; definitions of fields and how data is entered and processed; data mining/intelligence; statistically-valid analysis and measurement methodologies; packaging data – infographics and other data display techniques, and report design options; data interpretation and validation; Ad Hoc analysis/performance evaluation principles; common demographic data bases; SQL coding and report services; data warehouse design; web-based application design; PC skills (e.g. Microsoft Office, Word, Excel, PowerPoint, SAS, Access and Excel);
• working independently as well as a leadership role in creating process documentation and interfacing with other team members to obtain this information; detailed-oriented; excellent interpersonal, oral and written communication skills; ability to handle multiple tasks; and problem solving and troubleshooting skills.

Experience Required:

• This classification must have a minimum of two (2) years of experience in processing, management, and retrieval of information.

Education Required:

• This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.