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Specific Stop Loss Data Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Specific Stop Loss Data Analyst based in the Unite

Job Remote Full source details
Jobgether Source published Sep 17, 2026 Verified 4 hours ago
✓ 100% verification score · Source: jobgether (lever) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time
Work modeRemote / location-flexible

Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Specific Stop Loss Data Analyst based in the Unite

Full job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Specific Stop Loss Data Analyst based in the United States. This remote role focuses on coordinating and analyzing data related to specific stop loss claims for key clients. You’ll help identify qualifying claimants and prepare accurate data for efficient claim entry and administration. The position combines claims operations, data analysis, reporting, and process improvement. You’ll build dashboards and translate complex data into actionable insights for leadership. The role offers an opportunity to contribute directly to operational accuracy, visibility, and continuous improvement. You’ll work in a collaborative environment where analytical thinking and attention to detail are highly valued. This is a strong opportunity for an experienced claims data professional looking to deepen their expertise in stop loss operations.

Identify specific stop loss claimants and coordinate the preparation of accurate data for claim entry and processing. Analyze claims and operational data to support client requirements and improve data coordination processes. Develop dashboards and reporting tools that provide meaningful insights into claims activity and operational performance. Present analytical findings and key trends to leadership in a clear and actionable manner. Support continuous improvement initiatives designed to strengthen data quality, streamline workflows, and improve operational efficiency. Collaborate with relevant stakeholders to ensure claims data is complete, accurate, and properly managed. Apply analytical judgment to identify trends, discrepancies, and opportunities for process enhancement. Requirements 3+ years of professional experience in claims data analysis, claims operations, or a closely related field. Demonstrated analytical experience specifically involving specific stop loss claims or comparable stop loss operations. Bachelor’s degree in Business, Analytics, or a related discipline, or equivalent professional experience. Strong data analysis and problem-solving capabilities, with the ability to identify meaningful patterns and translate findings into actionable recommendations. Experience creating dashboards, reports, or other data visualizations for operational or leadership audiences. Strong attention to detail and a commitment to data accuracy and quality. Ability to manage priorities, work independently, and collaborate effectively with internal stakeholders. Clear written and verbal communication skills, particularly when presenting analytical findings to leadership. Benefits Annual salary range of $70,000–$75,000 . Fully remote work environment within the United States. Medical and prescription drug coverage. Dental and vision insurance. Life and disability insurance. 401(k) savings plan. Employee Stock Purchase Plan (ESPP). Student loan assistance. Tuition reimbursement. Free mental health and enhanced advocacy services. Paid time off and holidays. Preferred partner discounts and additional well-being benefits. Benefit eligibility, enrollment periods, and offerings may vary depending on applicable plans and location.

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