Ohio Chapter, American Academy of Pediatrics (Ohio AAP) logo
Ohio Chapter, American Academy of Pediatrics (Ohio AAP)

Putting passion and ideas into action to educate and advocate on behalf of Ohio’s children.

AI & Analytics Engineer

Analytics EngineerAnalytics EngineerFull TimeRemoteMid LevelTeam 11-50Since 1934H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

4 days ago

Salary

$125K - $135K / year

Seniority

Mid Level

Bachelor Degree2 yrs expEnglishAzureCloudETLSQL

Job Description

AI & Analytics Engineer

Ohio Chapter, American Academy of Pediatrics (Ohio AAP)

• 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

Job 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

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