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ResMed Logo ResMed · IT - Software Development

AI Business Analyst Intern

United States, San Diego 23.25 - 42.75 USD / Hour · Job Posted February 18, 2026
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Job Description

We’re seeking an AI Business Analyst Intern to help identify, define, and assess AI and GenAI opportunities that improve customer experiences, operational efficiency, and decision-making. You’ll work with business stakeholders and technical teams to translate problems into clear requirements, success metrics, and delivery plans—supporting proof-of-concepts and scaling high-value AI solutions.

Job Responsibility

  • Partner with stakeholders to understand business goals, pain points, and current processes
  • document as-is and to-be workflows
  • Identify and frame AI/GenAI use cases
  • develop problem statements, hypotheses, and value narratives
  • Translate needs into business requirements, user stories, and acceptance criteria (e.g., for RAG copilots, automation, forecasting, classification)
  • Define KPIs and measurement plans (accuracy/quality, time saved, adoption, cost, risk) and support experimentation/evaluation
  • Perform data discovery: identify source systems, data gaps, data quality issues, and requirements for governance/privacy
  • Build business cases including ROI, cost/benefit, risk assessment, and implementation options
  • Support solution delivery by coordinating with product, data science, engineering, and security teams
  • track progress and dependencies
  • Identify, implement and test software solutions that could best address the problem
  • Create clear stakeholder communications: decks, one-pagers, process maps, and demo narratives
  • Prepare summaries, presentations and documentation of the implemented solution

Requirements

  • Ability to work full-time for 12 weeks during Summer 2026
  • Currently pursuing a BS/MS in Business Analytics, Information Systems, Economics, Engineering, Data Science, or related field
  • Strong analytical and problem-solving skills
  • comfortable working with ambiguity
  • Ability to write clear requirements and communicate with both business and technical teams
  • Basic understanding of data concepts (tables, joins, metrics definitions) and the analytics lifecycle
  • Understanding AI/ML concepts (training vs inference, evaluation, overfitting, metrics) and algorithms
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