LifeShare Network, Inc. - Oklahoma City, OK

posted 6 days ago

Full-time - Mid Level
Oklahoma City, OK

About the position

As a Data Analyst at LifeShare Network, Inc., you will play a crucial role in enhancing patient outcomes through data-driven decision-making in the healthcare sector. Reporting to the Director of Data & Analytics, you will leverage your expertise to conduct comprehensive analyses that support core organizational functions and improve the organ procurement and transplant processes.

Responsibilities

  • Designing and developing data models and visualizations.
  • Collaborating closely with stakeholders to understand business needs and provide actionable insights.
  • Ensuring data quality and accuracy through rigorous analysis and validation processes.
  • Conducting ad-hoc analysis and providing ongoing support for specific project work.
  • Leading work groups and committees to facilitate collaboration and drive strategic initiatives.
  • Evaluating, writing, and presenting operational data and reporting, providing recommendations based on relevant findings.
  • Providing project management support as needed to ensure successful implementation of data-driven initiatives.

Requirements

  • Bachelor's degree in computer science, data science, or a relevant healthcare field.
  • Strong verbal and written communication skills, with the ability to present complex technical concepts to diverse audiences.
  • Proficient in SQL, Power BI, and possessing advanced Excel skills.
  • Expertise in healthcare electronic medical record data.
  • 2+ years of experience in data analysis and visualization, and in developing key metrics, performance indicators (KPIs) and advanced reporting to support decision-making.
  • Experience with ELT tools and processes to manage and streamline the movement of data across systems, and knowledge of data warehousing concepts.
  • Ability to perform and present complex research and analyses for different stakeholders and decision-makers.
  • Statistical analysis and predictive modeling experience a plus.
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