Insurance Data Analyst at Humanity

Position Insurance Data Analyst
Posted 2025 December 21
Expired 2026 January 20
Company Humanity
Location São Paulo | BR
Job Type Full Time
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Job Description:

Latest job information from Humanity for the position of Insurance Data Analyst. If the Insurance Data Analyst vacancy in São Paulo matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Humanity for the position of Insurance Data Analyst below matches your qualifications.

Company Description Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. Therefore, we have dedicated this job posting to individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Ethnic Minority, and the Previously Incarcerated. If you identify with any of the following communities do not hesitate to register, even if you feel that this particular opportunity is not the right fit for you. Company Name: FIS Global **Job Description**: **Position Type**: Full time **Type Of Hire**: Experienced (relevant combo of work and education) **Education Desired**: Bachelor of Computer Science **Travel Percentage**: 1 - 5% As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we’d like to ask you: Are you FIS? **About the role**: As a Technology Business Consultant, you’ll contribute to a critical component of our success. While working closely with clients and internal teams to deliver innovative, new solutions that meet their needs and help advance the way the world pays, banks and invests. **About the team**: What you will be doing: - Researching client needs, analyzing trends and best practices and creating detailed program specifications - Devising procedures to achieve greater efficiencies and solve complex technical problems. - Assessing available technologies and recommending solutions. **What you will need**: - Proficiency in business modeling and requirements definition disciplines through Unified Modeling Language (UML). - A bachelor’s in computer science or information systems or the equivalent experience. Added bonus if you have: **What we offer you**: At FIS, you can learn, grow and make an impact in your career. Our benefits include: - Flexible and creative work environment - Diverse and collaborative atmosphere - Professional and personal development resources - Opportunities to volunteer and support charities - Competitive salary and benefits **Privacy Statement** FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. **Sourcing Model** Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. pridepass

Job Info:

  • Company: Humanity
  • Position: Insurance Data Analyst
  • Work Location: São Paulo
  • Country: BR

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Insurance Data Analyst at the office São Paulo above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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