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Montefiore Einstein Technology

Montefiore Einstein Technology is hiring: Data Analyst in Indiana

Montefiore Einstein Technology, Indiana, PA, United States, 15705

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Job Summary

Medical center data resources and rigorous research methodology to analyze performance, utilization and outcomes related to the department of Pediatrics.

Location

Bronx, New York

Grant Funded

No

Department

PEDS - Administration

Work Shift

Day

Work Days

MON-FRI

Scheduled Hours

8:30 AM-5 PM

Scheduled Daily Hours

7.5 HOURS

Pay Range

$69,510.17-$86,887.71

Essential Functions

  • Design studies to assess program performance, utilization and patient outcomes that are methodologically sound and that take into account information resources currently available within the medical center.
  • Design data collection instruments for studies and projects conducted by members of the Department.
  • Query existing medical center data resources using best available tools.
  • Cleanse and manage data that were extracted from enterprise data resources to facilitate accurate interpretation and longitudinal monitoring.
  • Conduct statistical analyses of extracted data.
  • Develop low volume PC-based data collection applications to gather data that are not available in enterprise information systems. This will probably be done in MS Access and/or Excel. Related activities include developing skills to improve application design.
  • Manage projects and document them with structured files to document methods and to facilitate staff succession.
  • Present study, methods and results in scientific format and other tailored formats depending on audience and managerial need.

Qualifications

  • BS Required
  • MS Preferred
  • 1-3 years
  • SQL, Access 2001, Excel 2010, PC-SAS and InfoMaker software
  • OHS Annual Assessment

Montefiore Medical Center is an equal employment opportunity employer. Montefiore Medical Center will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.

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