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AI Business Systems Analyst

đŸ”„ 0 minutes ago

❄ Minnesota – Remote

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đŸ’” $65k - $100k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Business Analyst

đŸ‘» Ghost score 0%

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Logo of ImageTrend

ImageTrend

201 - 500 employees

Founded 1998

đŸ„ Healthcare

đŸ›ïž Government

☁ SaaS

💰 Private equity on 2023-03

Healthcare ‱ Government ‱ SaaS

ImageTrend is a software company that builds an intelligence operating system for emergency response organizations, specializing in solutions for EMS, fire departments, hospitals, government agencies, and researchers. Their platform includes ePCR (electronic patient care reporting), fire incident reporting, scheduling, license management, permits and inspections, pre-incident visual plans, unified analytics, interoperability with hospital EHRs, billing and revenue cycle features, CQI (continuous quality improvement), and AI-powered features such as AI-assisted charting, intelligent image capture, and AI checks for real-time quality assurance. ImageTrend emphasizes compliance with NEMSIS and NERIS standards, operates many state EMS repositories, and provides implementation services, training, and 24/7 US-based support. The company positions itself as a partner to emergency response agencies and healthcare organizations, leveraging the largest EMS dataset in North America to provide analytics, benchmarking, and market intelligence.

📋 Description

‱ Partner with business stakeholders to identify, evaluate, and prioritize AI, intelligent automation, and process improvement opportunities ‱ Translate business requirements into AI use cases, solution designs, workflows, success measures, data requirements, risks, and implementation plans ‱ Design, configure, test, deploy, monitor, and support AI assistants, agents, prompts, retrieval-based solutions, workflows, automations, and enterprise application enhancements ‱ Develop and optimize prompts, knowledge sources, retrieval strategies, agent instructions, and AI solution components ‱ Build and support human-in-the-loop controls for review, approval, correction, escalation, or override of AI-generated outputs ‱ Connect AI solutions to authorized enterprise applications, data sources, APIs, connectors, and integrations with security and governance controls ‱ Support AI proofs of concept, pilots, experimentation, and transition of successful solutions into production ‱ Evaluate solution effectiveness using accuracy, adoption, completion rates, time saved, user satisfaction, productivity improvements, and business outcomes ‱ Research emerging AI technologies, tools, models, and industry trends and recommend responsible adoption opportunities ‱ Support administration, configuration, integration, testing, maintenance, and continuous improvement of assigned enterprise applications and business systems ‱ Assist with user access, roles, permissions, data quality, workflow configuration, reporting, dashboards, release testing, troubleshooting, and issue resolution ‱ Collaborate with business owners, vendors, developers, security, compliance, and IT teams ‱ Support cybersecurity, data privacy, responsible AI, regulatory compliance, and enterprise technology governance standards ‱ Create and maintain technical documentation, configuration records, standard operating procedures, governance materials, knowledge articles, and training resources ‱ Perform additional duties as assigned, including travel to orientation, company events, training opportunities, or onsite meetings

🎯 Requirements

‱ Bachelor's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, Information Systems, or a related field, or the equivalent combination of education and relevant experience ‱ Demonstrated experience through academic, internship, research, project, or professional environments supporting AI-powered applications, automations, enterprise systems, or related technologies ‱ Working knowledge of artificial intelligence concepts including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), embeddings, semantic search, agent frameworks, Model Context Protocol (MCP), workflow automation, and responsible AI practices ‱ Understanding of enterprise applications, cloud technologies, databases, integrations, authentication, permissions, APIs, and software development or delivery methodologies ‱ Understanding of AI platforms and technologies such as Microsoft Copilot Studio, Azure AI, OpenAI, Salesforce Agentforce, Anthropic Claude, Google Vertex AI, Amazon Bedrock, Power Platform, or similar technologies ‱ Experience or exposure to enterprise applications and platforms such as CRM, ERP, CPQ, HRIS, customer service, analytics, or other enterprise SaaS solutions is preferred ‱ Knowledge of data governance, cybersecurity, privacy requirements, healthcare technology, or other regulated business environments is preferred ‱ Familiarity with workflow automation tools, integration platforms, APIs, semantic search technologies, agent frameworks, or business process automation is preferred ‱ Knowledge of common business processes across sales, marketing, customer success, finance, operations, contracting, onboarding, or customer support ‱ Strong analytical, troubleshooting, problem-solving, and critical-thinking skills ‱ Strong attention to detail, sound judgment, intellectual curiosity, and willingness to learn unfamiliar business processes, data, and platforms ‱ Strong written and verbal communication skills, including explaining technical concepts to technical and non-technical audiences ‱ Ability to maintain discretion when handling proprietary and confidential information ‱ Enthusiasm for learning and expanding knowledge or skills ‱ Strong work ethic, integrity, honesty, collaboration, and team orientation ‱ Ability to travel as required, up to 10%

đŸ–ïž Benefits

‱ Bonus ‱ Benefits ‱ Perks ‱ Community gains ‱ Remote work: 100% virtual anywhere in the US ‱ Accommodations for applicants with disabilities ‱ Equal opportunity workplace free from harassment and discrimination

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