American Association of Colleges of Osteopathic Medicine (AACOM)

• Develop and maintain Python-based data pipelines that collect, process, and ingest data from multiple sources. • Improve existing data workflows with a focus on quality assurance, sustainability, documentation, and maintainability. • Ensure analytic workflows are reproducible, well-structured, and scalable. • Support responsible handling of sensitive data in compliance with FERPA and AACOM data governance standards. • Develop dashboards and data visualization tools primarily using Tableau and Python. • Maintain and enhance existing dashboards, internal analytics tools, and client-facing data products. • Translate complex datasets into accessible and actionable visual insights. • Translate defined research designs into executable analytic workflows. • Clean, transform, and validate complex administrative and survey datasets. • Conduct quantitative analyses with increasing independence over time. • Contribute to applied research initiatives including workforce studies, survey analysis, and text-based or NLP projects. • Support the development and operationalization of statistical and/or ML models used in research and operational initiatives. • Partner with colleagues across AACOM departments to support strategic data and analytics initiatives. • Contribute to a culture of innovation, continuous learning, and process improvement. • Document workflows, methodologies, and technical processes clearly and consistently. • Stay current on emerging tools, technologies, and best practices in data science and analytics.