医疗数据分析师
Healthcare Data Analyst
Raventra Health 是一家医疗服务平台，为医疗机构和医院提供外包账单、编码和理赔处理解决方案。作为医疗数据分析师，您将分析医疗和收入周期数据，以识别趋势、绩效差距和改进机会。您将与运营和客户支持团队合作，将复杂的数据转化为清晰的洞察，以支持更好的财务和运营结果。
WHAT YOU WILL DO
- 从账单、理赔、付款和应收账款系统中分析医疗和收入周期数据
- 监控关键绩效指标，如回款率、拒付率、理赔数量、报销金额和应收账款账龄
- 在客户账户和操作流程中识别趋势、异常和绩效差距
- 创建和维护用于内部和客户支持团队的分析报告和仪表盘
- 调查数据差异，并与相关团队合作验证和解决数据问题
- 将分析结果转化为清晰的见解和可操作的建议
- 通过数据分析和相关指标支持客户绩效评审
- 进行临时分析以回答运营和业务问题
- 与账单、编码、理赔、应收账款和客户成功团队协作，推动数据驱动的改进项目
WHAT WE ARE LOOKING FOR
- 2年以上数据分析、医疗分析、收入周期分析或相关分析岗位的工作经验
- 具有医疗、财务或运营数据集的工作经验
- 熟练使用 Excel，包括数据透视表、查找、公式和数据分析
- 有使用报告或商业智能工具（如 Power BI 或 Tableau）的经验
- 了解医疗收入周期流程及相关绩效指标
- 强大的分析和解决问题能力，注重细节
- 能够向技术型和非技术型利益相关者清晰传达复杂发现
- 能够在远程环境中管理多个分析请求并按时完成任务
- 符合 HIPAA 规范的私密工作空间
NICE TO HAVE
- 有 SQL 经验
- 有 Epic、Athena、eClinicalWorks 或其他医疗系统经验
- 有医疗 RCM 或医疗账单经验
- 有分析理赔、报销、拒付或回款数据的经验
- 有准备客户报告或演示文稿的经验
COMPENSATION AND BENEFITS
薪酬将在面试过程中讨论
查看英文原文
Raventra Health is a medical services company providing outsourced billing, coding, and claims processing solutions for provider groups and hospitals. As a Healthcare Data Analyst, you will analyze healthcare and revenue cycle data to identify trends, performance gaps, and opportunities for improvement. You will work with operational and client-facing teams to turn complex data into clear insights that support better financial and operational outcomes.
WHAT YOU WILL DO
- Analyze healthcare and revenue cycle data from billing, claims, payment, and accounts receivable systems
- Monitor key performance indicators such as collections, denial rates, claim volumes, reimbursement, and AR aging
- Identify trends, anomalies, and performance gaps across client accounts and operational workflows
- Build and maintain analytical reports and dashboards for internal and client-facing teams
- Investigate data discrepancies and work with relevant teams to validate and resolve data issues
- Translate analytical findings into clear insights and actionable recommendations
- Support client performance reviews with data analysis and relevant metrics
- Conduct ad hoc analysis to answer operational and business questions
- Collaborate with billing, coding, claims, AR, and client success teams on data-driven improvement initiatives
WHAT WE ARE LOOKING FOR
- 2+ years of experience in data analysis, healthcare analytics, revenue cycle analytics, or a related analytical role
- Experience working with healthcare, financial, or operational datasets
- Strong Excel skills, including pivot tables, lookups, formulas, and data analysis
- Experience with reporting or business intelligence tools such as Power BI or Tableau
- Working knowledge of healthcare revenue cycle processes and related performance metrics
- Strong analytical and problem-solving skills with excellent attention to detail
- Ability to communicate complex findings clearly to both technical and non-technical stakeholders
- Ability to manage multiple analytical requests and meet deadlines in a remote environment
- HIPAA-compliant private workspace
NICE TO HAVE
- SQL experience
- Experience with Epic, Athena, eClinicalWorks, or another healthcare system
- Healthcare RCM or medical billing experience
- Experience analyzing claims, reimbursement, denials, or collections data
- Experience preparing client-facing reports or presentations
COMPENSATION AND BENEFITS
Compensation will be discussed during the interview and will reflect the candidate’s experience, qualifications, and relevant healthcare analytics expertise.
Benefits and additional employment details will be discussed during the hiring process.
HIRING PROCESS
Application review → introductory conversation → hiring manager interview → offer.
EQUAL OPPORTUNITY
Raventra Health is an equal opportunity employer. We consider all qualified applicants without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. If you need an accommodation at any stage of the hiring process, please contact us and we will work with you to provide appropriate support.
Location: Remote
Originally posted on Himalayas