Field Data Analyst-1

Acrisureinnovation

TBD (West Region)
Base: $72,760 - $98,440; bonus/equity: not specifi...
Hybrid
Collecting, analyzing, and interpreting large datasets
Data integrity and accuracy
Statistical analysis techniques
Acrisure is seeking a Field Data Analyst to join their Operations team in a hybrid work environment. The role involves collecting and analyzing large datasets to provide insights for decision-making in the health insurance sector while collaborating with multiple teams to enhance operational efficiency and client satisfaction

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 offers a comprehensive suite of benefits and perks, including competitive compensation, industry-leading healthcare savings and investments, and opportunities for growth.

Matching Summary

Match Score: 85

Acrisure is seeking a Field Data Analyst to join their Operations team in a hybrid work environment. The role involves collecting and analyzing large datasets to provide insights for decision-making in the health insurance sector while collaborating with multiple teams to enhance operational efficiency and client satisfaction.

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
  • data integrity and accuracy
  • statistical analysis techniques
  • data visualization tools
  • health insurance concepts
  • regulatory requirements, such as HIPAA

Nice-to-have

  • dynamic culture, fast paced environment
  • social issues such as children’s health and DEI
  • collaboration, team leadership, and cross-functional partnership

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
  • Experience within various claims systems/data warehouses is preferred

Work Rights

Not specified

Tailored Resume

Cover Letter