AI & Analytics Engineer

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Ohio Chapter, American Academy of Pediatrics (Ohio AAP)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1934

📚 Education

⚕️ Healthcare Insurance

🤝 Non-profit

Education • Healthcare Insurance • Non-profit

Ohio Chapter, American Academy of Pediatrics (Ohio AAP) is dedicated to educating and advocating for the health and well-being of children and adolescents in Ohio. The organization offers resources, training, and advocacy actions aimed at improving pediatric care, promoting vaccination, and addressing key health issues in the community. They also facilitate engagement among healthcare providers and families through various educational programs and initiatives focused on child health.

📋 Description

• Assist in building and enhancing AI-powered applications and agents that support business workflows • Develop components of AI solutions that automate routine tasks and surface insights • Gather requirements from stakeholders with guidance from senior team members • Iterate on AI applications based on user feedback and testing results • Provide ongoing Level 3 support for software products • Support integration of AI applications with enterprise systems (e.g., EMR, HRIS, data platforms) under senior direction • Assist with deployment, testing, and monitoring of AI solutions in lower and production environments • Build and maintain ETL/ELT pipelines that feed analytics and AI use cases • Develop and maintain semantic models, datasets, and dashboards (Power BI and related tools) • Partner with IT, clinical informatics, operations, and business stakeholders to understand reporting and AI needs • Follow team practices for source control, code review, documentation, and testing • Monitor AI outputs and data pipelines for accuracy and reliability

🎯 Requirements

• 2–4 years of experience in data analytics, BI development, data engineering, or software development • Hands-on experience building custom software products, including writing code and delivering end-to-end solutions aligned to business requirements. • Proven ability to conduct testing, troubleshoot and debug issues, and ensure high-quality, reliable application performance across environments. • Hands-on experience building dashboards, reports, or data pipelines in a professional setting • Exposure to AI, machine learning, or workflow automation projects (academic or professional) preferred • Demonstrated proficiency in modern software engineering tools (IDES), practices; including Agile development, CI/CD workflows, automated testing, and code review standards. • Working proficiency with SQL and relational data modeling • Experience with Power BI (or comparable BI platform) including DAX and semantic models • Familiarity with ETL/ELT concepts and at least one data integration tool • Exposure to cloud platforms (Azure preferred) and AI/ML services a plus • Comfort working with both structured and unstructured data.

🏖️ Benefits

• Health insurance • Professional development • Paid time off