Senior Business Intelligence Analyst

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Senior Business Intelligence Analyst - Revenue Cycle

We are looking for a Senior Business Intelligence Analyst to join our Data & Analytics Department with a focus on Revenue Cycle Analytics. This is an exciting opportunity to become a key player in our cutting-edge Digital, Informatics, and Technology division. You'll work on high-priority platforms supported by Digital Products & Informatics (DP&I), which focuses on the powerful interaction between people, processes, and technology to help deliver excellent care to its patients.

As part of our team, you'll manage a suite of clinical information systems, including the electronic health record and ancillary systems, ensuring decision support, health information exchange, and knowledge management. This role will provide you the chance to not only shape our revenue cycle strategies but also mentor and guide junior team members in a dynamic, collaborative, and growth-focused environment. If you're passionate about leveraging data to make a tangible impact and want to contribute to a mission-driven organization, we invite you to join us at MSK. This is your chance to make a meaningful impact through data-driven insights and join a team that values excellence and innovation. If you're ready to take your career to the next level, apply today!

Position Overview

Analyze revenue cycle data to uncover trends, issues, and improvement opportunities in billing, collections, and financial performance.
• Collaborate with business users to understand their processes, gather and document requirements, and translate them into functional specifications for dashboards and reports.
• Design and optimize dimensional data models to support the reporting infrastructure.
• Identify project risks and work proactively with the team to deliver on project scope and timelines.
• Support the development of data governance processes, ensuring high data integrity through established policies and procedures.
• Create ad-hoc reports and queries and develop test plans to ensure the quality of reporting solutions.
• Provide leadership and technical insight, identifying system deficiencies, analyzing problems, and implementing corrective actions.

Key Qualifications:

• 5+ years demonstrated ability developing reporting solutions against relational and dimensional underlying data in a multi-platform environment.
• Strong proficiency in SQL programming, deep knowledge of relational database design principles, and Tableau / data visualization & BI tools
• Revenue Cycle Data Analytics experience.
• Experience with DB2, R & Python programming a plus
• Exposure to SAFe or agile methodologies a bonus
• Epic Cogito, Caboodle and Clarity as well as Revenue Data Model Certifications a plus.

Core Skills

• Extensive knowledge of healthcare revenue cycle processes, including billing, coding, and reimbursement methodologies.
• Ability to work effectively with complex information and navigate conflicting data points.
• Proven track record of achieving results, even under challenging circumstances.
• Strong planning and prioritization skills to meet organizational goals.
• Ability to build collaborative partnerships and communicate effectively across different audiences.
• An effective communicator, capable of determining how best to reach different audiences and carrying out communications based on that understanding.

Additional Information:

• This role is based at MSK's 633 Third Avenue location.
• Schedule: Full Time, Hybrid onsite 3 days a month
• Reporting to the Associate Director, Analytics

Pay Range: $120,200 - $192,300

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MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

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