Data Analyst, Specialty Care Programmatic Support

New
J
JobgetherHealthcare Analytics
USFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
3+ years
Required Skills
Microsoft Power BITableauData visualizationData modelingData analytics

Requirements

  • Bachelor’s degree in a relevant field.
  • 3+ years of experience obtaining, analyzing, and interpreting data through computerized models and analytical methods.
  • Experience developing dashboards, reports, charts, and visualizations to support business or program decisions.
  • Proficiency with data visualization platforms such as Pyramid Analytics, Tableau, and/or Power BI.
  • Experience working with healthcare information systems and databases.
  • Strong analytical and quantitative skills with the ability to identify patterns, trends, and actionable insights.
  • Ability to communicate data findings and recommendations effectively to non-technical stakeholders.
  • Strong written and verbal communication skills.
  • Experience supporting federal agencies or large healthcare organizations preferred.
  • Experience working with healthcare data sources and systems such as Corporate Data Warehouse (CDW), VistA, VHA Support Service Center (VSSC), RAMP, PTF, MCA, PCMM, NPCD, or VETSNET is preferred.
  • Experience integrating dashboards or reports with enterprise healthcare systems is a plus.
  • Experience developing automated data acquisition and import solutions is preferred.

Responsibilities

  • Develop, test, implement, and maintain databases, dashboards, reports, and analytical tools supporting program priorities.
  • Create computerized models, queries, and analytical solutions to identify trends, patterns, and opportunities for improvement.
  • Design impactful data visualizations, including graphs, charts, and dashboards using tools such as Pyramid Analytics, Tableau, and/or Power BI.
  • Ensure dashboards and reporting solutions accurately represent underlying clinical and administrative data.
  • Integrate data solutions with existing healthcare systems and enterprise datasets to improve accessibility, reliability, and data quality.
  • Build automated data acquisition and import processes to reduce manual entry and enhance operational efficiency.
  • Develop documentation, user guides, and technical materials explaining data sources, functionality, and workflows.
  • Provide training, technical support, maintenance, and enhancements for analytical tools and reporting solutions.
  • Present analytical findings, insights, and recommendations clearly to technical and non-technical audiences.
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