Data Analyst- Per Diem

OLE Health-posted 2 months ago
$39 - $49/Yr
Napa, CA
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Under the supervision of the Data Analytics & Programmer Manager, the Data Analyst collaborates with multidisciplinary teams to support the organization’s data needs by developing ad-hoc and recurring reports. CommuniCare+OLE provides an inclusive workplace that promotes and values diversity and life experience. CommuniCare+OLE encourages people of all backgrounds to apply including, but not limited to, Black, Indigenous Peoples, people of color, immigrants, refugees, women, LGBTQIA+, people with disabilities, veterans, individuals of all ages and religions, and individuals who have been affected by the legal system.

  • Collaborate with the Data Department and stakeholders to confirm data requests by reviewing objectives, input/output requirements, and timeframes that support clinical care teams, quality improvement, and the organization's reporting needs.
  • Conduct ongoing data collection by analyzing health information from various sources, including Epic, BridgeIT, Relevant, and Excel, for quality improvement, internal operations, UDS, and other reporting requirements.
  • Write, validate, and document extensive SQL code to create data reports and dashboards for end-user use and functionality.
  • Perform other duties as assigned.
  • Preferred bachelor’s degree in health-related informatics, computer science, statistics, data analytics/data science, engineering, public health, or other related fields.
  • A minimum of one year of experience working as a data analyst, developer, or equivalent is strongly preferred.
  • Minimum of one year of directly related experience in healthcare - health information technology, quality improvement, data analytics/data science, or information management strongly preferred.
  • Intermediate to advanced SQL comprehension and querying required.
  • Intermediate to advanced competency in Excel (Functions, Vlookups, Pivot Tables, etc.) required.
  • Familiarity with Relational Database Management Systems (MSSQL and PostgreSQL) preferred.
  • Familiarity with data analytical platforms (Relevant, PowerBI, Tableau, etc.) preferred.
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