GME Data and Research Analyst - FT *ONSITE McAllen, TX* - South Texas Health System

Universal Health Services; McAllen (TX); Vor Ort; USD 60.000 - 90.000; Vollzeit

Zusammenfassung

Universal Health Services seeks a Data and Research Analyst to support GME resident scholarly activity. You will coordinate research data, develop dashboards, ensure regulatory compliance, and evaluate outcomes to drive quality improvement initiatives.

Role requires a bachelor’s degree in a related field, 2+ years in data analytics, and experience with BI tools. MPH/MHA preferred. Collaborative, data-driven environment with emphasis on timely milestones.

Qualifikationen

• Bachelor's degree in Data Analytics, Statistics, Public Health, Healthcare Administration, Information Systems, Research Methodology, Business Analytics, or a related field. Preferred: MPH/MHA/Data Analytics/Biostatistics or related field.
• Two years of experience in data analysis, research administration, program evaluation, quality improvement, healthcare analytics, or a related analytical role.
• Experience utilizing data visualization and business intelligence tools to develop reports, dashboards, and performance metrics.
• Knowledge of research methodologies, data collection practices, statistical analysis, and quality improvement principles, preferably within healthcare, academic medicine, or higher education settings.
• Demonstrated ability to manage multiple projects simultaneously, coordinate timelines and deliverables, analyze complex data sets, and communicate findings effectively through written reports and presentations.

Aufgaben

• Coordinate, track, analyze, and report research-related data using business intelligence tools.
• Manage and monitor resident research and quality improvement projects throughout the project lifecycle.
• Develop data-driven reports and dashboards to support research and quality improvement initiatives.
• Guide data collection efforts, enhance data quality and statistical efficiency, identify trends and outcomes.
• Evaluate resident research productivity and the impact of institutional scholarly activities and improvement efforts.

Kenntnisse

Data analysis

BI tools

Research methodology

Healthcare analytics

Ausbildung

Bachelor's degree in data analytics/related field

Master's degree (MPH/MHA/related) preferred

Jobbeschreibung

Responsibilities

POSITION SUMMARY:

The Data and Research Analyst supports Graduate Medical Education (GME) resident scholarly activity through the coordination, tracking, analysis, and reporting of research-related data using business intelligence tools. This position manages and monitors resident research and quality improvement projects throughout the project lifecycle, ensuring timely completion of milestones, regulatory requirements, and reporting obligations. The analyst develops data-driven reports and dashboards to support research and quality improvement initiatives, guides high-quality and responsive data collection efforts, enhances data quality and statistical efficiency, identifies trends and outcomes, and provides analytical support to evaluate resident research productivity and the impact of institutional scholarly activities and improvement efforts.

Qualifications

QUALIFICATIONS:

• 1. Bachelor's degree in Data Analytics, Statistics, Public Health, Healthcare Administration, Information Systems, Research Methodology, Business Analytics, or a related field. Preferred: Master's degree in Public Health (MPH), Healthcare Administration (MHA), Data Analytics, Biostatistics, or a related field.
• 2. Two (2) years of experience in data analysis, research administration, program evaluation, quality improvement, healthcare analytics, or a related analytical role.
• 3. Experience utilizing data visualization and business intelligence tools to develop reports, dashboards, and performance metrics.
• 4. Knowledge of research methodologies, data collection practices, statistical analysis, and quality improvement principles, preferably within healthcare, academic medicine, or higher education settings.
• 5. Demonstrated ability to manage multiple projects simultaneously, coordinate timelines and deliverables, analyze complex data sets, and communicate findings effectively through written reports and presentations.
  EDUCATION / LICENSURE:
  1. Bachelor's degree in Data Analytics, Statistics, Public Health, Healthcare Administration, Information Systems, Research Methodology, Business Analytics, or a related field. Preferred: Master's degree in Public Health (MPH), Healthcare Administration (MHA), Data Analytics, Biostatistics, or a related field.

EEO Statement

All UHS subsidiaries are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates. UHS subsidiaries are equal opportunity employers and as such, openly support and fully commit to recruitment, selection, placement, promotion and compensation of individuals without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), genetic information, national origin, disability status, protected veteran status or any other characteristic protected by federal, state or local laws.

We believe that diversity and inclusion among our teammates is critical to our success.

Notice

At UHS and all our subsidiaries, our Human Resources departments and recruiters are here to help prospective candidates by matching skillset and experience with the best possible career path at UHS and our subsidiaries. We take pride in creating a highly efficient and best in class candidate experience. During the recruitment process, no recruiter or employee will request financial or personal information (Social Security Number, credit card or bank information, etc.) from you via email. The recruiters will not email you from a public webmail client like Hotmail, Gmail, Yahoo Mail, etc. If you are suspicious of a job posting or job-related email mentioning UHS or its subsidiaries, let us know by contacting us at: https://uhs.alertline.com or 1-800-852-3449.