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AI Summary
The AI Support Analyst will provide L1/L2 support for AI-driven applications, data pipelines, and integrations while monitoring system performance. They are responsible for troubleshooting issues, validating data quality, and maintaining documentation to ensure production stability.
This is a remote position.
AI Support AnalystWe are seeking an AI Support Analyst to provide day-to-day support for AI-driven applications, data platforms, and client-facing solutions. This role will focus on monitoring system performance, troubleshooting issues, and ensuring the accuracy and reliability of AI outputs and data workflows across environments leveraging AWS, Azure, Tableau, Power BI, and DealCloud CRM.
This is a hands-on role ideal for someone with a mix of technical support, data analysis, and troubleshooting experience, with interest in AI-driven systems.
Key Responsibilities
- Provide L1/L2 support for AI-driven applications, data pipelines, and integrations
- Monitor systems and respond to alerts, incidents, and performance issues
- Troubleshoot issues related to AI outputs, data inconsistencies, and system integrations
- Validate data quality and accuracy across ETL/ELT pipelines and reporting tools (Tableau, Power BI)
- Support API integrations and data flows between systems, including CRM platforms like DealCloud
- Document issues, resolutions, and maintain runbooks and knowledge base articles
- Assist with incident management, escalation, and root cause analysis
- Collaborate with engineering, QA, and data teams to ensure production stability
- Support user inquiries and provide guidance on system functionality and issues
- Identify opportunities for automation and process improvements within support operations
Requirements
Required Qualifications
- 2–4 years of experience in Application Support, Production Support, QA, or Data Support roles
- Strong analytical and troubleshooting skills
- Proficiency in SQL for data validation and issue investigation
- Familiarity with cloud environments (AWS and/or Azure)
- Experience working with data pipelines or ETL processes
- Exposure to monitoring tools (e.g., Datadog, Splunk, CloudWatch, Azure Monitor)
- Experience with API troubleshooting or integration support
- Strong communication skills and ability to support both technical and non-technical users
Key Traits for Success
- Strong attention to detail with a focus on data accuracy
- Problem-solving mindset and ability to troubleshoot complex issues
- Strong communication and customer support skills
- Ability to prioritize and manage multiple issues
- Curiosity and interest in AI and emerging technologies
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