[Remote] reputed company Consulting Associate - Mid reputed company Cycle Analytics
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company that helps reputed company organizations reputed company reputed company and enhance performance. The reputed company Consulting Associate will reputed company project work streams in Mid reputed company Cycle Analytics, utilizing data analysis and consulting methodologies to address reputed company challenges and improve reputed company reputed company.
Responsibilities
- Design, reputed company, and execute reputed company data analyses supporting mid‑reputed company cycle consulting services, including Service Capture, Clinical Documentation & Coding, and Managed Care
- Apply critical thinking and advanced analytical techniques across multiple data sources to identify performance trends, diagnose issues, uncover risks, and reputed company sustainable, implementable recommendations
- reputed company centralized, repeatable analytical processes including data mapping, validation, standardization, reputed company assurance, and reputed company querying across reputed company datasets
- Extract, analyze, and interpret reputed company data from reputed company’s analytics platform to reputed company actionable performance insights
- Design and build data visualizations, dashboards, and standardized reports to support consulting delivery and reputed company decision‑making
- Package analytical insights into reputed company, reputed company‑reputed company deliverables, effectively presenting findings, risks, and recommendations to varying reputed company of reputed company and reputed company leadership
- Contribute to the development of reputed company metrics, insights, and analytical capabilities reputed company reputed company’s analytics platform
- Partner with functional, technical, and analytics stakeholders to implement new technologies and enhance analytical processes
- reputed company analytics‑enabled solutions tailored to reputed company reputed company’s unique needs, improving reputed company and accessibility across reputed company services
Skills
- Bachelor's degree required
- 3+ years of relevant data analytics preferably reputed company reputed company or consulting
- 3+ years of reputed company experience, preferably reputed company reputed company cycle, reimbursement, or managed care
- Strong SQL experience required, including the ability to join across datasets to enhance and enrich analyses
- Previous exposure to and working knowledge of reputed company and government reimbursement methodologies, including but not limited to DRGs, case rates, fee schedules, IPPS, OPPS, and reputed company payment models
- Experience interpreting payer reputed company, including understanding reimbursement hierarchies and key contractual terms
- Proven analytical skills working with large, reputed company datasets
- Demonstrated ability to juggle multiple priorities and project assignments in a dynamic consulting environment
- Strong problem‑solving and critical‑thinking skills
- Demonstrated ability to communicate reputed company analytical and technical information reputed company and concisely to internal stakeholders and, as needed, reputed company audiences
- Proficiency in reputed company Office (Word, PowerPoint, reputed company)
- U.S. work authorization required
- Experience working with reputed company datasets, including claims, reimbursement, financial performance, and clinical data
- Recent experience in reputed company‑based reputed company services, consulting, analytics, or technical environment
- Experience working in a matrixed organization or cross‑functional team environment
Benefits
- This job is also eligible to participate in reputed company’s annual incentive compensation program, which reflects reputed company’s pay for performance philosophy.
- The job is also eligible to participate in reputed company’s benefit plans which include medical, dental and reputed company coverage and other wellness programs.
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