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# Sr. Business Intelligence Analyst

- **Company:** R1 RCM Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $50,461.0 - $114,114.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, R (Programming Language), Python (Programming Language), Power BI, SQL Databases, Unstructured Data, Data Processing, Tools for Reporting, Programming Languages
- **Published:** August 11, 2026
- **Apply:** https://r1rcm.wd1.myworkdayjobs.com/R1RCM/job/Remote-USA/Sr-Business-Intelligence-Analyst_R260000005331

## About the Role

* 2 - 5 years' experience in an analytics-related role managing the development of business intelligence, data models, and reporting tools.
 * Strong proficiency in SQL, Microsoft Power BI, and R/Python
 * Healthcare industry experience preferred.
 * Working knowledge of agile methodologies such as Kanban or Sprints.
 * Nimbleness and comfort with ambiguity; ability to respond quickly to rapidly evolving opportunities and priorities.
 * Prior exposure to and experience with business leaders and users in such diverse business functions as operations, product, business strategy, finance, and data science.
 * Uncompromising attention to detail and a systematic approach to problem-solving, with good data intuition (i.e., an ability to look at analytical results and assess their reasonableness).

## Description

* Stakeholder Collaboration: Engage with stakeholders to interpret their requirements and develop innovative tools and analytics that drive impactful business results. Act as a bridge between business needs and technical solutions.
 * Operational Analysis: Utilize advanced data analysis techniques on both structured and unstructured data to identify the root causes of operational issues. Provide data-driven insights that lead to actionable solutions and improvements.
 * Strategic Recommendations: Synthesize comprehensive recommendations for leadership, backed by empirical evidence, to drive measurable improvements in operational performance and strategic outcomes.
 * Product and Process Expertise: Develop a deep understanding of the portfolio's products, processes, technology, and data. Use this knowledge to inform strategic decisions and optimize business operations.
 * Effective Communication: Articulate complex concepts, including the what, why, and how, to both technical and non-technical audiences. Ensure clarity and alignment across all levels of the organization.
 * Development Collaboration: Partner closely with engineering teams to ensure the highest quality and timely delivery of production releases. Translate stakeholder requirements into technical specifications for seamless implementation.
 * Technical Proficiency: Leverage programming languages such as Python or R for sophisticated data manipulation, statistical analysis, and automation of data workflows, enhancing efficiency and accuracy.
 * Team Dynamics: Demonstrate a self-driven, positive attitude while collaborating with and supporting fellow BI team members. Foster a collaborative and innovative team environment.
 * Continuous Learning: Exhibit critical thinking and a proactive approach to learning. Ask insightful questions and seek opportunities for professional growth and development.


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