Data Exchange Analyst

Role overview

This role is based in the United States and supports a partner organization that handles its own hiring process. The position focuses on keeping data connectivity reliable across internal platforms, outside partners, and third-party administrators so that essential exchanges are completed accurately and on time.

The analyst will contribute to the design, upkeep, and troubleshooting of EDI and API-driven data workflows used in benefit administration and eligibility operations. The job combines technical data work with clear business communication, making the role an important bridge between IT, operations, and external partners.

You will work through complex integration issues involving structured data, connected systems, and cross-platform workflows. Success in the role depends on careful problem-solving, strong attention to data quality, and a continuous-improvement mindset in a fast-paced, collaborative setting.

Your efforts will directly help maintain dependable data flows that support employee benefit systems and related operational processes.

Accountabilities

• Build, maintain, and refine internal procedures and workflows related to EDI and data exchange activities.
• Support daily work for EDI Business Process Analysts by helping close out issues and requests in a timely way.
• Investigate and resolve data, integration, and system problems across internal tools and third-party administrator environments.
• Help validate requirements and implementation approaches for EDI/API connections, including eligibility and enrollment data flows.
• Serve as the point of contact between business teams, IT staff, and external partners to turn business needs into workable technical solutions.
• Handle structured data formats such as 834 files, CSV files, and API-based exchanges using REST, HTTP, and web services.
• Respond to questions from internal teams and outside partners about data connections and follow through until issues are resolved.
• Track system issues, escalate or report problems when needed, and contribute ideas to improve data exchange operations.

Requirements

• A bachelor’s degree in Business, IT, Data, or a similar field is preferred, although equivalent experience may also be considered.
• Hands-on experience with EDI data formats such as 834, CSV, and related structured data transformation work.
• Working knowledge of API integrations and system-to-system exchanges, including REST, HTTP, and web APIs.
• Exposure to benefit administration or HR systems such as Workday, ADP, Employee Navigator, or Paylocity is considered an advantage.
• Strong analytical and troubleshooting ability, with a practical approach to identifying and closing workflow gaps.
• Excellent communication skills and the ability to translate between technical and non-technical audiences.
• Comfort managing several priorities at once in a deadline-driven, fast-moving environment.
• Background in insurance or benefits administration environments is a plus.

Perks and benefits

• Annual compensation range of $59,110 to $88,660.
• Opportunity to receive annual incentive pay or performance-based compensation.
• Medical, dental, and vision coverage.
• Paid time off along with paid public holidays.
• Retirement and savings plan options.
• Flexible, inclusive benefits designed to support well-being and work-life balance.
• Access to professional development, training, and career advancement opportunities.
• A collaborative workplace guided by shared values.

Additional information

This role is administered by a partner company, which will manage applications and all hiring steps directly.

The hiring process is supported by AI-assisted matching to help identify candidates aligned with the core requirements. Shortlisted applications are then passed to the hiring employer for review. Final hiring decisions, including interviews and assessments, are handled by the employer’s internal team.

By applying, candidates acknowledge that their personal data may be processed for evaluation and shared with the hiring employer in line with applicable data protection laws. The process may include AI tools to help review applications, analyze resumes, and flag possible inconsistencies, but human judgment remains part of the final decision-making process.