Company Description

Fini is an AI-powered solution designed to revolutionize customer support by ensuring accurate and reliable issue resolution. Catering to mid-market and enterprise B2C companies in sectors like fintech, SaaS, and marketplaces, Fini specializes in automating high-stakes workflows such as refunds, KYC, account updates, and billing disputes. Trusted by organizations like the U.S. Chamber of Commerce and multiple Fortune 500 companies, Fini processes over 1,000,000 tickets monthly with a 98% verified accuracy rate. Its advanced AI integrates seamlessly with platforms like Zendesk, Salesforce, and HubSpot while maintaining the highest regulatory standards, including SOC 2, GDPR, and ISO 27001. Fini enhances customer satisfaction and operational efficiency, turning AI into an audited and dependable resolution layer for support teams.

Role Description

This is a full-time remote role for a System Analyst. In this role, you will analyze and improve system performance, troubleshoot and resolve technical issues, and gather and document business and technical requirements from stakeholders. You will collaborate with cross-functional teams to design solutions, evaluate systems, and ensure alignment with organizational goals. The role also involves identifying potential areas for improvement and implementing recommendations to optimize processes and technologies.

Qualifications

• Expertise in Systems Analysis and Business Analysis to identify and improve workflows
• Strong Analytical Skills and problem-solving mindset for evaluating system performance and troubleshooting
• Knowledge of Information Technology and experience working with IT systems
• Proficiency in troubleshooting and resolving system-related issues
• Excellent communication and collaboration skills to work effectively with diverse teams
• Bachelor’s degree in Computer Science, Information Systems, or related field; advanced degree is a plus
• Prior experience with AI-driven systems or customer support technologies is advantageous
• Ability to adapt to a fast-paced, remote work environment with minimal supervision