Position: Clinical Business Analyst
Location: New York, NY 10037
Duration: November 16, 2026 – January 9, 2027
Schedule: Monday–Friday, 37.5 hours/week, 7.5 hours/day
Shift: 8:00 AM–4:00 PM or 9:00 AM–5:00 PM
Work Arrangement: Onsite only
Employment Type: Temp-to-hire; candidates must be interested in converting to a full-time employee
Salary Range: $70,000–$100,000 annually, based on experience
Pay Rate: $60/hr.
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.