Data Analyst joining Oscar's Clinical Data Analytics team in Tempe, Arizona. Analyzing performance metrics and insights to support business goals with a hybrid work model.
About the role
- Data Analyst for the CDC Foundation working on overdose surveillance and prevention data analysis. Collaborating with CDC and local authorities to support public health initiatives.
Responsibilities
- Plan, develop, and conduct analysis of overdose surveillance data and data related to overdose prevention efforts.
- Full life cycle activities of data analytics to include data cleaning, developing analysis and reporting capabilities, and linking databases and data sets.
- Continuously monitoring performance and quality control plans to identify improvements in models.
- Perform data management activities, data cleaning and statistical analysis.
- Produce and analyze reports for monitoring and evaluating overdose surveillance and prevention activities.
- Collaborate with agency and external groups providing data analysis support and insight.
- Effectively communicate information regarding Overdose Surveillance and Prevention Program data.
- Collate data and compile into meaningful graphs and data visualizations.
- Coordinate results and feedback regarding all results from testing of items during hospital admissions.
- Aid in the compilation, analysis, and dissemination of collected data pertaining to opioid testing and surveillance.
- Assist in providing detailed and timely reports as to current trends on drug supply and overdose trends.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Information Management, Public Health (Epidemiology), or related field.
- Minimum of two (2) years of full-time, professional work experience with data cleaning, data management and statistical analysis.
- Ability to collect, organize, analyze, and disseminate significant amounts of data.
- Ability to conduct descriptive, diagnostic, predictive and prescriptive analysis using primary or secondary data.
- Provide data-driven insights and solutions to help Overdose Prevention Programs.
- Proficiency in navigating computer systems; ability to learn new data systems quickly and to comply with data integrity and security.
- Proficiency in common statistical software such as R, Python and/or SAS is required.
- Experience with geospatial data and analytics.
- Familiarity with geospatial data tools such as ArcGIS, QGIS and/or GeoDa.
- Ability to design, create prototypes, develop, deploy, and support Power BI or Tableau dashboards and reports.
- Proficiency in Teams, Zoom, and Microsoft Office applications.
- Strong written and oral communication skills.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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