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Thomson Reuters

Legal, financial data, and media services

Technical Support Agent

Customer SupportPosted on Nov 12
Full-timeCampinas - State of São Paulo, BrazilNo salary listed

About the Job

Requirements

  • Education in Computer Science, Software Engineering, Computer Engineering, Systems Analysis and Development, Informatics, or related fields.
  • Experience or demonstrated interest in customer service and technical support.
  • Logical reasoning skills and clear communication to explain solutions to different audiences.
  • Ability to work toward targets and adapt to work processes.
  • Ability to interact with people and work in a team.

Responsibilities

  • Provide technical support to users with system access, updates, installation, configuration, digital certificates, printers, and utilities, ensuring the solutions function properly.
  • Communicate information clearly and assertively to customers.
  • Handle customer requests efficiently and seek rapid problem resolution.
  • Understand the customer journey and the appropriate paths for each need.
  • Forward product change and correction requests to the responsible teams.
  • Practice and promote the organization’s values and behaviors.
  • Stay up to date on solution developments and applicable legislation.

Desired Qualifications

  • Experience with Domínio software.
  • Knowledge of SQL.
  • Previous customer support or help desk experience.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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