Data Analyst I, Onsite

Data Analyst I, Onsite
Company:

University Of Maryland Medical System


Details of the offer

Company Description
The University of Maryland Medical System is a 14-hospital system with academic, community and specialty medical services reaching every part of Maryland and beyond. UMMS is a national and regional referral center for trauma, cancer care, Neurocare, cardiac care, women's and children's health and physical rehabilitation. UMMS is the fourth largest private employer in the Baltimore metropolitan area and one of the top 20 employers in the state of Maryland. No organization will give you the clinical variety, the support, or the opportunities for professional growth that you'll enjoy as a member of our team.
Job Description
This is an onsite/in-person position - not eligible for working remotely.
General Summary
* The Population Health Data Analyst I works in conjunction with the Analytics team to analyze claims, Electronic Medical Record, Health Information Exchange, and other data sources to identify opportunities for clinical improvement activities. This individual takes direction from the Population Health Data Analyst II, III, IV, and leadership of the Population Health Services Organization to effectively communicate these opportunities to the participating physicians of the University of Maryland Quality Care Network.
Qualifications
Education and Experience
* Bachelor's degree required. Bachelor of Science degree in Mathematics, Computer Science, or related field is preferred.
* One (1) years of data analysis or equivalent experience is required (Graduate/advanced degrees and/or certification will be considered in lieu of years of experience).
* Previous healthcare experience is preferred. Previous experience in population health is ideal but not mandatory
* Experience with analysis of claims data is ideal but not mandatory.
Knowledge, Skills and Abilities
* Strong organizational, quantitative and problem solving skills with strategic and creative thinking
* Excellent oral, written and interpersonal skills with the ability to communicate effectively with all levels of internal and external customers
* Strong aptitude for analytical thinking and demonstrated data skills.
* Demonstrated ability to work with large data and self-direct in analysis to reach recommendations and conclusions.
* Experience with qualitative and quantitative analytical techniques in order to measure the effectiveness and efficiency of program management practices.
* Experience and knowledge of payer claims structure and content.
Working Conditions
* Weekend, shift work, holiday, on-call, and may be require work beyond normal tour of duty to complete projects, meet deadlines, or respond to emergencies.
* Work is performed in various environments within UMMS. These environments include, but are not limited to the following: a standard office environment, Data Center/closets environment, or Healthcare environment.
* Periodic traveling out of town with overnight stays to obtain required training, education, or certification may be required.
* Work may include regular travel to and from the various affiliated institutions within the Medical System.
* Work may be required in a Healthcare facility which the observance of "Universal Precautions" is mandated. Universal Precautions involves the wearing of protective clothing/equipment and the observance of safe work practice.
* There is potential for regular exposure to hazardous materials and hazards from use of tools and power equipment in the work environment.
* Work is high demand and fast paced.
* May require lifting, carrying supplies/equipment, pushing/pulling equipment in excess of 40 lbs.
* May require standing stooping, bending and walking for prolonged periods of time.
* Talking and hearing necessary for conversations with callers, visitors, patients, families and staff members.
Additional Information
Primary work location will be UM Rehab & Ortho.


Source: Grabsjobs_Co

Requirements

Data Analyst I, Onsite
Company:

University Of Maryland Medical System


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