Systems Analyst (Entry Level)

Systems Analyst (Entry Level) - Remote Job, US/Canada, 1+ Year Experience About us: Patterned Learning is an AI-powered platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

After applying for a position, please follow our page for further updates. Responsibilities: Collaborate with stakeholders to understand business requirements and translate them into technical specifications. Assist in analyzing existing systems and processes to identify areas for improvement. Support the design and development of system enhancements and modifications. Conduct testing and quality assurance activities to ensure the reliability and performance of systems.

Assist in troubleshooting and resolving system issues and user inquiries. Collaborate with cross-functional teams to integrate systems and streamline processes. Stay updated with emerging technologies and industry trends to contribute innovative ideas. Prepare documentation and reports to communicate analysis findings and recommendations. Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field.

Strong analytical and problem-solving skills. Basic understanding of system analysis and design methodologies. Familiarity with software development lifecycle (SDLC) principles. Basic programming knowledge in languages such as Java, C#, or Python. Familiarity with databases and SQL queries. Excellent communication and interpersonal skills. Ability to work collaboratively in a team environment. Eagerness to learn and grow in the field of systems analysis.

Special Benefits you will love: Flexible vacation paid unlimited holidays and paid sick days 401(k) with up to 2% employer match Health, vision, and dental insurance Why Patterned Learning AI? By leveraging AI, Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This AI-powered assistance can help reduce coding errors, improve productivity, and accelerate the development process.

The use of AI in pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.