Data Consultant — Forecasting, Reporting & Insights

Sedgwick; South Carolina; On-site; USD 70,000 - 90,000; Full time

Job summary

Sedgwick is seeking a Data Consultant to develop complex reports and analyze company data, including client data, and to provide technical oversight to analysts across field offices. The role also involves training staff in data analysis techniques and contributing to benchmarking efforts for senior management.

The ideal candidate has a Bachelor’s degree in a quantitative field, insurance experience, and strong proficiency with Microsoft Office and data systems.

Qualifications

• Bachelor's degree preferred in Business Administration, Statistics or Quantitative Analysis.
• Experience in an insurance-related field and 1+ year of statistical analysis preferred.
• Knowledge of risk management information systems including utilization and functionality.
• PC literate, including Microsoft Office products.

Responsibilities

• Creates complex data reports and provides analysis for forecasting and benchmarking used by senior management.
• Communicates data findings for forecasting and client needs.
• Provides complex data analysis to meet client-specific needs of programs or company senior management.
• Serves as a resource for colleagues on data analysis and benchmarking issues.
• Provides technical oversight and guidance to client-dedicated analysts located in multiple field offices.
• Provides training and data analysis education for colleagues.
• Supports the organization's quality programs.
• Travels as required.

Skills

Data analysis

Reporting

Forecasting

Benchmarking

Education

Bachelor's degree in Business Administration, Statistics, or Quantitative Analysis

Computer Science courses preferred

Tools

Microsoft Office

Job description

Sedgwick is seeking a Data Consultant to develop complex reports and analyze company data, including client data, and to provide technical oversight to analysts across field offices. The role also involves training staff in data analysis techniques and contributing to benchmarking efforts for senior management.

The ideal candidate has a Bachelor’s degree in a quantitative field, insurance experience, and strong proficiency with Microsoft Office and data systems.