> Markdown version of [/jobs/ext/4577649-systems-analyst-enterprise-ai-analytics-solutions](https://www.wearedevelopers.com/jobs/ext/4577649-systems-analyst-enterprise-ai-analytics-solutions). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Analyst Enterprise AI & Analytics Solutions - **Company:** Mindlance - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Application Integration Architecture, Software as a Service, Cloud Computing, Software Documentation, Databases, Continuous Integration, Data Integration, Data Systems, HP Systems Insight Manager, Systems Analysis, Python (Programming Language), Scrum Methodology, Systems Development Life Cycle, Power BI, Cloud Services, Software Requirements Analysis, SQL Databases, Systems Integration, Tableau (Software), Teradata SQL, Enterprise Data Management, Data Processing, Scripting, Enterprise Software Applications, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Generative AI, Data Analytics, Data Management, Restful APIs - **Published:** November 5, 2026 - **Apply:** https://www.thejobnetwork.com/job/8cbdeb6a-67ad-4fa8-8d39-72f8dd1f2b17/systems-analyst-enterprise-ai-analytics-solutions ## About the Role * 3 years of experience in systems analysis, enterprise applications, analytics, application integration, or related technology roles. * Experience with SQL, Python, REST APIs, enterprise applications, and cloud platforms. * Experience with requirements analysis, system integration, testing, troubleshooting, and SDLC. * Knowledge of Generative AI, LLMs, RAG, or AI-enabled applications. * Experience working in Agile/Scrum environments. * Strong analytical, problem-solving, communication, and collaboration skills. Preferred Qualifications * Experience with AWS, Lambda, Bedrock, Teradata, Tableau, Power BI, or similar enterprise technologies. * Experience with SaaS applications, enterprise data platforms, CI/CD, and application monitoring. * Experience integrating AI-generated insights into enterprise applications and analytics solutions. ## Description We are seeking a Systems Analyst Enterprise AI & Analytics Solutions to analyze business and technical requirements and support the design, integration, and enhancement of enterprise applications, analytics platforms, cloud systems, and AI-enabled solutions. The role will collaborate with business stakeholders, software engineers, and data teams to translate business needs into technical solutions., * Analyze business processes, system requirements, workflows, and existing application capabilities to identify opportunities for improvement. * Gather and translate business requirements into functional and technical specifications. * Analyze and support integrations between enterprise applications, databases, SaaS platforms, analytics systems, and cloud services. * Develop and maintain Python scripts, SQL queries, REST API integrations, and data-processing workflows. * Support enterprise analytics, reporting, data integration, and dashboard solutions. * Analyze requirements for AI-enabled applications, including Generative AI, LLM, RAG, and automated business workflows. * Support integration of AI capabilities with enterprise applications, data platforms, and APIs. * Perform system, integration, regression, and UAT testing and troubleshoot application and data issues. * Analyze system defects and production issues and work with engineering teams to identify root causes and implement solutions. * Support cloud-based applications and integrations using platforms such as AWS. * Prepare system documentation, process flows, technical specifications, and implementation documentation. * Participate in Agile/Scrum activities and collaborate with product, engineering, data, and business teams.