Clinical Business Analyst

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.