Healthcare Data Analyst

🕒 January 30

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Logo of Scalepex

Scalepex

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Scalepex is a minority-owned company that specializes in talent solutions to help businesses scale and achieve their strategic goals. Leveraging a combination of creativity, strategy, and execution, Scalepex uses a unique AI platform to enhance the quality of talent, providing staffing and placement services to industries such as technology, finance, healthcare, and more. Their approach focuses on individualized support, cost management, and strategic consultation across areas like mergers and acquisitions, software development, data enablement, and more. With a strong emphasis on social responsibility, Scalepex aims to connect underserved communities with world-class opportunities, ensuring both client success and personal and professional satisfaction for their team members.

📋 Description

• 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

• 4+ years of experience in system analysis, data analysis, and/or process improvement. • 2+ 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.

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