Radiology Data Analyst

Job Title: Radiology Clinical Data Analyst
Location: San Antonio, TX (on-site)
Department: Administration
Reports To: Director of Administrative Services
FLSA Status: Exempt
Summary of Position:
Focuses on analyzing clinical and operational data to improve workflow efficiency and overall performance. Provides analytical support for clinical operations across STRG. Position requires prior radiology experience in a clinical or analytical role.

Job Responsibilities:
Develop and maintain dashboards that track Relative Value Units (RVUs) and sub-specialty workloads
Identify trends, anomalies and opportunities for operational improvement
Monitor key performance indicators (KPIs) and quality metrics
Ensure data integrity, accuracy and consistency across systems
Collect, analyze and interpret data from radiology systems including RIS, PACS and EHR
Works collaboratively with other clinical operations/administrative roles to:
Identify workflow inefficiencies and collaborates with physicians to implement solutions
Complete data analysis related to scheduling, staffing, procedure volumes and turnaround times
Perform ad hoc analyses to support clinical operations and business decisions
Prepares materials for clinical meetings, captures action items, and ensures follow-through
Translate complex data findings into clear, actionable insights for clinical stakeholders
Maintains confidentiality when handling sensitive physician performance data
Facilitates communication between clinical and administrative teams

Supervisory Responsibilities:
None

Experience / Skill Requirements:
Minimum of three years of experience in clinical/healthcare data analysis (radiology experience REQUIRED)
Experience with data visualization tools (e.g., Power BI)
Proficiency in SQL and at least one statistical or programming language (e.g., Python, R, SAS)
Experience working with EHR, RIS and/or PACS systems
Experience supporting quality initiatives or clinical improvement projects
Knowledge of healthcare quality metrics and improvement methodologies
Ability to leverage AI assistants for report generation, data interpretation, and administrative tasks
Ability to manage multiple projects and deadlines
Advanced Excel skills (pivot tables, formulas, data modeling)
Excellent communication skills with the ability to present data clearly
Detail oriented, self-directed and be able to work with minimal supervision and highly confidential information.
Able to work in a fast-paced collaborative but collegial environment while maintaining duties.

Education:
Bachelor’s degree in Health Informatics, Statistics, Data Science or a related field.

Attendance / Work Schedule:
Maintaining and satisfying minimum attendance requirements is an essential function of this position, including working all full-time regular hours as established for this position and scheduled or emergency overtime. Full-time regular hours are defined as Monday through Friday, with after-hours or weekends as required. All employees in this job classification are required to satisfy this requirement. This job classification does not include "light duty" work or allow unpredictable or unrestricted absences.