Predictive Analytics Analyst - Dallas, United States - Steward Health Care

Description

About Steward Health Care
Over a decade ago, Steward Health Care System emerged as a different kind of health care company designed to usher in a new era of wellness. One that provides our patients better, more proactive care at a sustainable cost, our providers unrivaled coordination of care, and our communities greater prosperity and stability.

As the country's largest physician-led, minority-owned, integrated health care system, our doctors can be certain that we share their interests and those of their patients. Together we are on a mission to revolutionize the way health care is delivered - creating healthier lives, thriving communities and a better world.

Based in Dallas, Steward currently operates more than 30 hospitals across Arizona, Arkansas, Florida, Louisiana, Massachusetts, Ohio, Pennsylvania, and Texas.

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POSITION SUMMARY:

Steward Health Care System is seeking a Predictive Analytics Analyst to serve as a key member of the Mission Control analytics team, to assess and analyze Length of Stay (LOS) metrics, and to support high-level volume and staffing analysis. The Predictive Analytics Analyst will provide daily analysis of enterprise in-house and projected LOS as well as volume and staffing data in coordination with the hospital business unit and corporate staff organizations; produce monthly/quarterly reports, and perform data analysis to evaluate operating performance and support decision-making.

KEY RESPONSIBILITIES:

• Tracking and analyzing key length of stay and labor metrics that impact operations and financial performance
• Define, create, implement and standardize "single source of truth" reports and dashboards for LOS metrics
• Collaborate with business partners in hospitals, IT,and Finance to identify opportunities that will increase productivity and support the organization's sustainable growth strategy
• Ad hoc analysis in support of corporate initiatives
• This role will be expected to understand, communicate and explain length of stay variances and trends

REQUIRED KNOWLEDGE & SKILLS:

• Bachelor's degree in Statistics, Engineering, Economics or Finance with strong academic record and 3+ years of relevant work experience; Master's degree in a quantitative field a plus
• Proven experience and ability to develop SQL queries and reports; Python and Business Intelligence tool experience (QlikView, Tableau, etc.). Experience building predictive models (ex- Regression, Classification, etc.) is a plus.
• Extensive experience with financial ERP systems, Microsoft Excel (including VBA Macros) and PowerPoint
• Ability to effectively manage multiple competing priorities at any given time; Detail-oriented and ability to work collaboratively in a deadline-driven environment
• Structured problem-solving skills and experience: uses a systematic, disciplined and fact-based process that gets to root causes to solve business challenges
• Top notch written and verbal communication skills

EDUCATION/EXPERIENCE/LICENSURE/TECHNICAL/OTHER:

• Education: Bachelor's degree in Statistics, Engineering, Economics or Finance with strong academic record and 3+ years of relevant work experience; Master's degree in a quantitative field a plus
• Experience (Type & Length): Prior experience with data management, ETL, and predictive analytics. Experience within a healthcare consulting firm or large company preferred. 3+ years of analytical experience; healthcare industry experience preferred but not required. Knowledge of DRG tables, LOS/GMLOS, outliers.