医疗数据分析师
Healthcare Data Analyst
职位描述
数据分析师在监控、管理和改进跨客户、供应商和内部系统的医疗保健数据文件交换中发挥关键作用。该职位属于DataOps团队，负责确保数据管道准确、可靠并按时交付。
你将与团队成员、工程合作伙伴和运营利益相关者紧密合作，解决故障，支持EDI工作流程，并持续改进数据流程。理想的候选人需具备扎实的技术细节关注能力，并理解数据操作如何支持客户满意度和更广泛的业务成果。
职责内容
- 保持对各运营部门数据和任务流程的深入了解。
- 向最终用户、团队主管和DataOps领导报告正在进行的任务和问题状态。
- 分析和排查保险理赔、资格验证以及导入/导出文件映射问题。
- 识别并解决EDI文件中的注册和注册变更问题，必要时与工程团队合作。
- 协调持续的EDI测试、实施和升级。
- 排查并报告操作错误，包括文件传输和SFTP连接问题。
- 将数据文件和报告与文档化的业务需求进行对比，以确保数据质量并发现差距。
- 支持数据流程、文档和操作流程的持续改进。
- 完成团队主管或DataOps经理指派的其他任务。
任职要求
- 1年以上系统分析、数据分析和/或流程改进经验。
- 1年以上医疗保健行业经验；有TPA经验者优先。
- 本科或副学士学位优先，但非必需。
- 强大的分析、批判性思维和解决问题的能力。
- 熟练使用Microsoft Office（Excel、Outlook、Word）。
- 熟悉平面文件数据结构，如CSV或竖线分隔文件。
- 有使用数据分析工具（如Excel、SQL、Tableau、Power BI）的经验。
- 具备分析数据、审查需求并提供支持业务决策的洞察力的能力。
- 在技术与非技术团队之间具备良好的协作和沟通能力。
- 熟悉ANSI 5010交易（837、835、834、270/271）者优先。
最初发布于喜马拉雅山
查看英文原文
About the Role
The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps team responsible for ensuring data pipelines are accurate, reliable, and delivered on time.
You’ll work closely with teammates, engineering partners, and operational stakeholders to troubleshoot issues, support EDI workflows, and continuously improve data processes. The ideal candidate combines strong technical attention to detail with an understanding of how data operations support client satisfaction and broader business outcomes.
What You’ll Do
- Maintain a strong understanding of data and task workflows across operational departments.
- Communicate the status of ongoing tasks and issues to end users, team leads, and DataOps leadership.
- Analyze and troubleshoot insurance claims, eligibility, and import/export file mappings.
- Identify and resolve issues related to enrollment and enrollment changes within EDI files, partnering with engineering teams as needed.
- Coordinate ongoing EDI testing, implementations, and upgrades.
- Troubleshoot and report operational errors, including file movement and SFTP connection issues.
- Compare data files and reports against documented business requirements to ensure data quality and identify gaps.
- Support continuous improvement of data workflows, documentation, and operational processes.
- Perform additional duties as assigned by the Team Lead or DataOps Manager.
Requirements
What You Bring
- 1+ years of experience in system analysis, data analysis, and/or process improvement.
- 1+ years of experience in the healthcare industry; TPA experience preferred.
- Associate or Bachelor’s degree preferred, but not required.
- Strong analytical, critical thinking, and problem-solving skills.
- Intermediate to advanced proficiency in Microsoft Office (Excel, Outlook, Word).
- Familiarity with flat file data structures such as CSV or pipe-delimited files.
- Experience using data analysis tools such as Excel, SQL, Tableau, Power BI, or similar tools.
- Proven ability to analyze data, review requirements, and deliver insights that support business decisions.
- Strong collaboration and communication skills across technical and non-technical teams.
- Knowledge or experience with ANSI 5010 transactions (837, 835, 834, 270/271) preferred.
Originally posted on Himalayas