Clinical Business Analyst

• Job Title: Clinical Business Analyst
• Location: New York, NY (Onsite – 5 days/week)
• Duration: 1-month contract-to-hire (Must be willing to convert to FTE)
• Schedule: Monday–Friday, 8:00 AM–4:00 PM or 9:00 AM–5:00 PM

Purpose Of Position:

Primarily responsible for building and maintaining data infrastructure and analytical tools to support the department's needs. Full-stack data professional working with both engineering/modeling and analytical aspects of data to fulfill the organization’s data and analytical needs

Summary of Duties and Responsibilities:

• Build infrastructure (pipelines and automated processes) required for optimal extraction, loading, and transformation of data from a wide variety of sources using SQL, Python, and/or other technologies as needed
• Provide analytics to drive operations as well as decision-making across domains like VBP, Revenue & Expense, Ambulatory Care, etc.
• Assemble raw and disjointed data sets and transform them into efficient data models that can be leveraged for tracking, reporting, and financial operations
• Identify, design, and implement process improvements, automating manual processes and optimizing operational efficiencies
• Work with cross-functional stakeholders and partners to assist with data-related issues and support their needs
• Prepare ad-hoc and recurring reporting and analyses and build analytical tools to support senior management and executive decision-making
• Create reports and dashboards from EPIC and its data to provide visibility into key metrics and trends
• Create routine data validation rules and processes to ensure completeness and integrity
• As needed, assist with Financial reconciliations and planning with an eye towards automation to improve efficiencies
• Maintain clear, organized, and complete documentation of data operations and curated datasets at all times to maintain operational resiliency and ensure the data is fit for purpose
• Analyze and document business requirements and processes; communicate requirements to technical personnel through the construction of basic conceptual data process models and flowcharts
• Identify performance improvement opportunities and resolution
• Other related tasks and/or projects

Educational Level:

Master's or Bachelor's degree in Computer Science, Informatics, Analytics, or a related field, plus 1 year of relevant experience or 4 years of experience in data analytics, software programming, or related field

Equipment/Machines Operated:

Standard Computer setup

Computer Programs/Software Operated:

• SQL and relational databases
• Python
• Tableau
• ETL/ELT and data pipelines
• Microsoft Office
• Advanced Excel
• Healthcare Data/Epic experience