Field Data Analyst-1

Acrisure

Base: $72,760 - $98,440; bonus/equity: not specifi...
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Data collection and management
Statistical analysis and data mining
Data visualization tools
** Acrisure is seeking a Field Data Analyst to collect, analyze, and interpret large datasets related to health insurance, collaborating with various teams to enhance operational efficiency and client satisfaction. The ideal candidate should possess strong analytical skills and proficiency in data analysis tools, with experience in the healthcare industry being highly advantageous. **

Job Summary

  • As a Field Data Analyst, you will be focused on collecting, analyzing, and interpreting large datasets to provide valuable insights and support decision-making processes.
  • Utilize statistical analysis techniques, data mining, and data visualization tools to identify trends, patterns, and anomalies in health insurance data.
  • Acrisure is an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

Matching Summary

Match Score: 75

** Acrisure is seeking a Field Data Analyst to collect, analyze, and interpret large datasets related to health insurance, collaborating with various teams to enhance operational efficiency and client satisfaction. The ideal candidate should possess strong analytical skills and proficiency in data analysis tools, with experience in the healthcare industry being highly advantageous. **

Salary

Base: $72,760 - $98,440; Bonus/Equity: Not specified; Benefits: Comprehensive suite of benefits and perks

Skills & Requirements

Must-have

  • Data collection and management
  • Statistical analysis and data mining
  • Data visualization tools
  • Performance monitoring and forecasting
  • Compliance with HIPAA
  • Health insurance concepts

Nice-to-have

  • Collaboration with cross-functional teams
  • Driving innovation
  • Community building
  • Social issue commitment

Key Requirements

  • Bachelor's degree in quantitative field
  • Proven experience in data analysis
  • Proficiency in SQL, Python, R, or SAS
  • Familiarity with statistical modeling techniques
  • Ability to build presentations using data visualization tools
  • Knowledge of health insurance data standards
  • Work authorization in the US

Work Rights

Not specified

Tailored Resume

Cover Letter