Remote Healthcare Data Analyst

Description:

• 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 will 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.
• Responsibilities include maintaining a strong understanding of data and task workflows across operational departments, communicating the status of ongoing tasks and issues to end users, team leads, and DataOps leadership, and analyzing and troubleshooting insurance claims, eligibility, and import/export file mappings.
• You will identify and resolve issues related to enrollment and enrollment changes within EDI files, coordinate ongoing EDI testing, implementations, and upgrades, and troubleshoot and report operational errors, including file movement and SFTP connection issues.
• Additionally, you will 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, and perform additional duties as assigned by the Team Lead or DataOps Manager.

Requirements:

• You must have 4+ years of experience in system analysis, data analysis, and/or process improvement.
• A minimum of 2+ years of experience in the healthcare industry is required; TPA experience is preferred.
• An Associate or Bachelor’s degree is preferred, but not required.
• Strong analytical, critical thinking, and problem-solving skills are essential.
• You should have intermediate to advanced proficiency in Microsoft Office, specifically Excel, Outlook, and Word.
• Familiarity with flat file data structures such as CSV or pipe-delimited files is necessary.
• Experience using data analysis tools such as Excel, SQL, Tableau, Power BI, or similar tools is required.
• A proven ability to analyze data, review requirements, and deliver insights that support business decisions is expected.
• Strong collaboration and communication skills across technical and non-technical teams are important.
• Knowledge or experience with ANSI 5010 transactions (837, 835, 834, 270/271) is preferred.

Benefits:

• The position offers opportunities for professional growth and development within a dynamic DataOps team.
• You will have the chance to work closely with various stakeholders, enhancing your collaboration and communication skills.
• The role provides a platform to improve data processes, contributing to overall client satisfaction and business outcomes.
• You will gain experience in the healthcare industry, particularly in data analysis and EDI workflows.
• The company supports continuous improvement initiatives, allowing you to make a meaningful impact on operational processes.