Field Data Analyst-2

Acrisure

TBD, West Region, USA
Base: $72,760 - $98,440; bonus/equity: not specifi...
Hybrid
Collecting, analyzing, and interpreting large datasets
Identify trends, patterns, and anomalies
Utilize statistical analysis techniques
Acrisure is seeking a Field Data Analyst to join their operations team in the West Region, focusing on collecting, analyzing, and interpreting large datasets to drive decision-making and improve operational efficiency. The ideal candidate should possess a strong background in data analysis within the healthcare or health insurance industry, with proficiency in tools such as SQL and data visualization software

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: 85

Acrisure is seeking a Field Data Analyst to join their operations team in the West Region, focusing on collecting, analyzing, and interpreting large datasets to drive decision-making and improve operational efficiency. The ideal candidate should possess a strong background in data analysis within the healthcare or health insurance industry, with proficiency in tools such as SQL and data visualization software.

Salary

Base: $72,760 - $98,440; Bonus/Equity: Not specified; Benefits: Competitive Compensation, Industry-Leading Healthcare Savings and Investments, Charitable Giving Programs, Hybrid work option, Opportunities for Growth, Educational Resources, Generous time away

Skills & Requirements

Must-have

  • collecting, analyzing, and interpreting large datasets
  • identify trends, patterns, and anomalies
  • utilize statistical analysis techniques
  • data mining and data visualization tools
  • generate reports, dashboards, and presentations
  • monitor key performance indicators (KPIs)
  • data privacy and security measures

Nice-to-have

  • dynamic culture and fast-paced environment
  • drive innovation at all levels
  • commitment to social issues
  • collaboration with cross-functional teams
  • support strategic planning initiatives

Key Requirements

  • Bachelor's degree or equivalent work in a quantitative field
  • Proven experience in data analysis
  • Proficiency in SQL, Python, R, or SAS
  • Familiarity with statistical modeling techniques
  • Ability to build presentations utilizing data visualization tools
  • Knowledge of health insurance concepts
  • Understanding of healthcare data standards

Work Rights

Not specified

Tailored Resume

Cover Letter