QA Tester at Analytics Intelligence [AI]

Analytics Intelligence [AI] combines human data scientists and artificial intelligence technologies to help clients improve data analysis, enhance decision making, and optimize digital services. Our solutions are developed specifically to address the growing Data Analytics staffing resource shortage faced by most businesses today. By deploying our data-driven AI Agents or Chatbot solutions clients can enhance the reach and support of their data and analytics teams. Powered by the AI Platform, our agents or chatbots are programmed to assist users with data retrieval and insight distribution across the organization. They are deployed as members of a team and can communicate via email, chat (Skype, Slack), or speech, like their human counterparts.

Key Responsibilities

• Conduct thorough testing of software applications, including functional, regression, and user acceptance testing.
• Create detailed test plans, test cases, and test scripts.
• Identify, document, and track software defects and issues, and work with development teams to resolve them.
• Collaborate with cross-functional teams, including developers, product managers, and designers, to ensure the delivery of high-quality software.
• Perform compatibility and performance testing as required.
• Ensure that all testing activities align with project timelines and quality standards.

Qualifications

• Bachelor's degree in a relevant field (Computer Science, Information Technology, etc.) or equivalent work experience.
• Minimum of 2 years of experience in software quality assurance and testing.
• Familiarity with software testing methodologies and best practices.
• Proficiency in using testing tools and frameworks.
• Strong analytical and problem-solving skills.
• Excellent communication and documentation skills.
• Knowledge of software development processes and programming languages is a plus.

Additional Skills

• Ability to work in a collaborative team environment.
• Detail-oriented with a strong focus on quality.
• Self-motivated and able to work with minimal supervision.
• Strong time management and organizational skills.

Method of Application