Entry Level Medical Stop-Loss Data & Benefits Analyst - Remote Mexico

Published on CazVidat Constancerecruit Staffing Services Pvt Ltd

Join Constancerecruit as a Medical Stop-Loss Data & Benefits Analyst. Remote full-time role in Mexico. Entry-level, $17,000/year. Apply now!

Verified by CazVid5 months agoDeadline passed: Feb 13, 2026

Salary

$17,000 per year

Location

Remote

Employment type

Full time

Workplace

Remote

Entry Level Medical Stop-Loss Data & Benefits Analyst - Remote Mexico

$17,000 per year

Apply now

Job description

Constancerecruit Staffing Services Pvt Ltd is hiring a detail-oriented and motivated Medical Stop-Loss Data & Benefits Analyst for a full-time remote position based in Mexico. Join our fast-growing healthcare insurance company and contribute to managing and analyzing medical stop-loss insurance data. Key Responsibilities Perform accurate data entry to maintain integrity of medical stop-loss datasets. Assist in analyzing stop-loss insurance claims data to identify trends and insights. Support report preparation and distribution on key data metrics and performance indicators. Collaborate with cross-functional teams to gather data and improve policy performance. Participate in projects to enhance data processes and reporting methods. Engage with stakeholders to understand data needs and provide timely support. Maintain and update documentation for data handling and analysis procedures. Required and Preferred Qualifications Technical or bachelor’s degree in Administration, Business, Insurance, Data Analytics, or related field. Proficient in data entry and data management. Strong knowledge of Microsoft Excel; familiarity with other data analysis tools is a plus. Excellent analytical, problem-solving, and organizational skills. Effective communication and teamwork abilities. 0-2 years of experience in data analysis or related field preferred but not required. Compensation: $17,000 USD per year This is an excellent entry-level opportunity to build your career in healthcare insurance data analysis while working remotely from Mexico.

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