Clinical Business Analyst

Job Title: Clinical Business Analyst

Location: New York, NY 10037 (Onsite)

Duration: 6 months (Extension Possible)

Requirements:

Required Experience & Education:

• Bachelor’s or Master’s degree in Computer Science, Informatics, Analytics, or a related field, plus at least 1 year of relevant experience; or
• 4 years of experience in data analytics, software programming, or a related field.

Required Skills:

• SQL and relational databases
• Python
• Data pipelines and ETL/ELT processes

Additional Skills:

• Tableau and data analytics
• Advanced Excel and Microsoft Office
• Healthcare data and Epic experience
• Data modeling and software programming
• Financial reconciliation and financial planning
• Business requirements analysis and process documentation
• Flowchart creation and conceptual data process modeling
• Process improvement and performance optimization
• Data validation, integrity, and quality assurance

Responsibilities:

• Build and maintain data infrastructure, pipelines, and automated processes to extract, load, and transform data from multiple sources using SQL, Python, and other technologies.
• Provide analytics to support operational and business decisions across value-based purchasing (VBP), revenue and expense, ambulatory care, and other domains.
• Assemble raw and disconnected datasets and transform them into efficient data models for tracking, reporting, and financial operations.
• Identify, design, and implement process improvements, automate manual processes, and optimize operational efficiency.
• Collaborate with cross-functional stakeholders and partners to resolve data-related issues and support departmental needs.
• Prepare ad hoc and recurring reports, analyses, and analytical tools to support senior management and executive decision-making.
• Create reports and dashboards using Epic data to provide visibility into key metrics and trends.
• Develop routine data validation rules and processes to ensure data completeness and integrity.
• Assist with financial reconciliations and planning, identifying opportunities for automation and improved efficiency.
• Maintain clear, organized, and complete documentation of data operations and curated datasets to support operational continuity and data reliability.
• Analyze and document business requirements and processes, communicating requirements to technical personnel through conceptual data process models and flowcharts.
• Identify performance improvement opportunities and support their resolution.
• Perform other related tasks and projects as assigned.