4 days ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.This range is provided by Capgemini. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$1.00/yr - $1.00/yrOur client is one of the largest insurers in the United States, offering a wide range of insurance and financial services products with gross written premiums exceeding US$25 billion (P&C). They serve over 10 million U.S. households with more than 19 million policies across all 50 states, through over 48,000 exclusive and independent agents and nearly 18,500 employees. The company is part of one of the world's largest insurance groups.Location:Brazil/Mexico - Working Hours: 8 am to 5 pm (EST)What You'll Do:Data procurement and deliveryAnalyze regulatory-related data using SQL, SAS EG, R, Python, Excel, and Power BIValidate data pipelines built by data engineering teams to ensure accurate data flowRequirements:Experience:3-5 years of relevant experienceSkills:Proficiency in EnglishBachelor's degreePower BI - AdvancedSQL - AdvancedExcel - AdvancedSAS - IntermediateManagement reporting or KPI development - IntermediateUnderstanding of the policy lifecycle of P&C insurance - IntermediateBenefits:Competitive salary and performance-based bonusesComprehensive benefits package including private health insurance, pension plan, paid time off, and training & developmentFlexible work arrangements (remote and/or office-based)Career development opportunitiesInclusive and dynamic work culture within a globally recognized groupNote: Benefits may vary based on employee level.Additional Details:Seniority level: Mid-Senior levelEmployment type: Full-timeJob function: OtherIndustries: IT Services and IT ConsultingReferrals can increase your chances of interview success by 2x.Job Locations:Blumenau, Santa Catarina, Brazil - 1 month agoBlumenau, Santa Catarina, Brazil - 2 weeks agoBlumenau, Santa Catarina, Brazil - 3 weeks agoBlumenau, Santa Catarina, Brazil - 4 weeks agoWe’re innovating community knowledge sharing with insights added directly into articles, supported by AI.
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