MetLife

PlanSmart Data Analyst

MetLife
US Charlotte, NC, US
Onsite 2026-06-25
Announced salary
$54k–$72k
Low
$77K
Median
$101K
High
$134K
Market in Charlotte · BLS OEWS 2025

Job description

Join the nation’s largest non\-medical carrier of group insurance, where your work will impact over 55,000 customers and cover more than 50 million employees and family members. As part of MetLife’s Group Benefits team, you’ll deliver innovative benefits solutions \- life, disability, dental, vision, and voluntary benefits \- tailored to today’s employers and workforces. Collaborate with customers, brokers, and partners to expand our offerings and reimagine digital experiences. Join us and be part of an organization committed to supporting customers when they need us most. The PlanSmart Data Analyst is responsible for supporting a defined book of business, validating and transforming data, and overseeing data workflows to ensure compliance with regulatory requirements related to conversion and portability notifications for MetLife group customers. This role is critical in enabling timely and accurate participant outreach by consolidating data from multiple sources into clear, usable outputs. The position also serves as a key liaison across internal partners, ensuring data integrity, resolving issues, and supporting continuous process improvements that enhance operational efficiency and customer experience. * Manage day\-to\-day processing, inbox traffic, file audits, data reconciliation, and end\-of\-day protocols. * Review incoming files to ensure accuracy, completeness, and adherence to regulatory compliance. * Create and maintain file configuration specifications to onboard and implement new customers. * Generate reporting outputs that directly trigger outreach requests for PlanSmart Specialists. * Identify operational gaps to drive continuous system, process, and workflow scalability enhancements. * Serve as a workflow Subject Matter Expert (SME) while partnering with internal stakeholders to resolve data discrepancies. * Experience in data analysis, data processing, or operational reporting * Strong proficiency in Microsoft Excel (e.g., formulas, l

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