Hospital Operations Data Analyst

Description

This Work from Home position requires that you live and will perform the duties of the position; within 60 miles of an HCA Healthcare Hospital (Our hospitals are located in the following states: FL, GA, , KS, KY, MO, NV, NH, NC, SC, TN, TX, UT, VA).

Do you want to join an organization that invests in you as a Hospital Operations Data Analyst? At Parallon, you come first. HCA Healthcare has committed up to 300 million in programs to support our incredible team members over the course of three years.

Parallon offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:

• Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free Air Med medical transportation.
• Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.
• Free counseling services and resources for emotional, physical and financial wellbeing
• 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)
• Employee Stock Purchase Plan with 10% off HCA Healthcare stock
• Family support through fertility and family building benefits with Progyny and adoption assistance.
• Referral services for child, elder and pet care, home and auto repair, event planning and more
• Consumer discounts through Abenity and Consumer Discounts
• Retirement readiness, rollover assistance services and preferred banking partnerships
• Education assistance (tuition, student loan, certification support, dependent scholarships)
• Colleague recognition program
• Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence)
• Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.

Learn more about Employee Benefits

Note:
Eligibility for benefits may vary by location.

You contribute to our success. Every role has an impact on our patients’ lives and you have the opportunity to make a difference. We are looking for a dedicated Data Analyst Clinical OR Scheduling like you to be a part of our team.

We are seeking a highly skilled and domain-fluent Hospital Operations Data Analyst to support strategic decision-making through deep analysis of surgical scheduling data across multiple Electronic Health Record (EHR) systems. This role is critical to optimizing OR utilization, improving scheduling workflows, and informing leadership on key performance indicators (KPIs), process improvements, and system design.

In this role you will:

• Assist with validation of extracted, clean, and harmonized scheduling data from multiple EHR platforms (e.g., Meditech, Meditech Expanse, Cerner, Epic).
• Support Data Engineers with validation of data sourced from pipelines that support real-time and retrospective analysis.
• Analyze OR scheduling patterns, utilization rates, block time efficiency, and cancellation trends.
• Identify bottlenecks, inefficiencies, and opportunities for process improvement.
• Translate complex data into actionable insights for operational and clinical leadership.
• Collaborate with stakeholders to define and refine KPIs related to OR scheduling and throughput.
• Design and build end-user solutions for KPI reporting using Power BI, ensuring intuitive and actionable dashboards tailored to leadership needs.
• Provide recommendations for system configuration and workflow redesign based on data findings.
• Partner with IT and clinical teams to ensure data integrity and alignment with operational goals.
• Serve as a subject matter expert in OR scheduling processes, including block scheduling, case prioritization, and surgeon preferences.
• Understand how scheduling data flows through EHR systems and impacts downstream operations.

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