Base: $95,000; bonus/equity: not specified; benefi...
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Bachelor's degree in statistics or related field
2 years professional data cleaning experience
Proficiency in r, python, sas, or sql
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The CDC Foundation is seeking a Data Analyst to support overdose surveillance and prevention efforts in Washington, D.C. The role requires a strong background in data analysis, proficiency in statistical software, and the ability to communicate findings effectively to various stakeholders.
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Job Summary
The CDC Foundation seeks a Data Analyst to support the Overdose Data to Action program by analyzing surveillance data and prevention efforts.
Candidates must possess proficiency in statistical software such as R, Python, and SAS to conduct descriptive, diagnostic, predictive, and prescriptive analysis.
The role involves collaborating with agency leadership and external groups to provide timely data-driven insights on overdose trends and intervention effectiveness.
Matching Summary
Match Score: 75
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The CDC Foundation is seeking a Data Analyst to support overdose surveillance and prevention efforts in Washington, D.C. The role requires a strong background in data analysis, proficiency in statistical software, and the ability to communicate findings effectively to various stakeholders.
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Salary
Base: $95,000; Bonus/Equity: Not specified; Benefits: Plus benefits
Skills & Requirements
Must-have
Bachelor's degree in Statistics or related field
2 years professional data cleaning experience
Proficiency in R, Python, SAS, or SQL
Experience with geospatial data tools like ArcGIS
Ability to design Power BI or Tableau dashboards
Nice-to-have
Strong written and oral communication skills
Experience working in virtual remote environments
Empathy when working with sensitive populations
Ability to manage multiple projects simultaneously
Familiarity with machine learning processes
Key Requirements
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Information Management, Public Health, or related field
Minimum of two years full-time professional work experience with data management