This is a remote position.
Junior Application Support Analyst (SQL) - Remote Job, 1+ Year Experience
Annual Income: $60K - $78K
About us: Patterned Learning is a 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.
Task Functions
Demonstrate superior customer service (as measured by our customers: surveys and satisfaction from support renewals).
Perform QA functions for any issue resolution from support calls.
Develop Reports using SQL Server Reporting Services (SSRS).
Create datasets to analyze and recreate issues reported by customers.
Ability to look through database log files to troubleshoot software issues.
Track and thoroughly document all customer issues in our ticketing system.
As issues are reported from customers diagnose if the issue is a change or a bug then communicate issues to the analyst, development staff, or sales consultant appropriately.
Understanding of the software development lifecycle (SDLC) as you will be interacting with various developers, analysts, and project managers.
Facilitate positive proactive working relationships with customers and internal resources.
Performs visits to customer sites to perform any preventative maintenance that can increase the stability and control of the Exacta software (Proprietary Software).
Implement and improve remote monitoring tools for our customer’s systems.
Utilization of the Support Knowledgebase and Ticketing System to troubleshoot issues.
Routinely log into client databases for data analysis and troubleshooting.
Resolve application issues with minimal escalations to higher tiers.
Manage conference calls with key stakeholders.
Ability to diagnose and troubleshoot C# code.
Ability to dissect stored procedures.
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.
The 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.
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