Data Analyst & Forecasting Reporting Lead

Sedgwick; Orangeburg (SC); Remote; USD 70,000 - 110,000; Full time

Job summary

Sedgwick seeks a Data Consultant to develop complex reports and analyze company and client data, serving as a technical resource for staff across multiple field offices. The role includes forecasting support, benchmarking, and data education to colleagues and management.

Preferred candidates hold a Bachelor's in Business Administration, Statistics, or Quantitative Analysis, with Computer Science courses a plus.

Qualifications

• Bachelor's degree in Business Administration, Statistics or Quantitative Analysis preferred.
• Computer Science courses preferred.
• Insurance field experience and at least 1 year of statistical analysis strongly preferred.
• Knowledge of RMIS or similar risk management systems and MS Office proficiency.
• Ability to meet performance competencies with strong judgment, problem solving and discretion.

Responsibilities

• Creates complex reports and analyzes data for forecasting and benchmarking for senior management.
• Communicates data findings to support forecasting and client needs.
• Delivers complex data analyses to meet client programs or company needs.
• Serves as a resource on data analysis and benchmarking for colleagues.
• Provides technical oversight to client analysts across multiple field offices.
• Provides training and data analysis education for colleagues.
• Supports the organization’s quality programs and travels as required.

Skills

Data reporting

Forecasting

Benchmarking

Statistical analysis

Client communication

Training

Education

Bachelor's degree in Business Administration / Statistics / Quantitative Analysis

Computer Science courses preferred

Tools

Risk management information systems (RMIS)

Microsoft Office

Job description

Sedgwick seeks a Data Consultant to develop complex reports and analyze company and client data, serving as a technical resource for staff across multiple field offices. The role includes forecasting support, benchmarking, and data education to colleagues and management.

Preferred candidates hold a Bachelor's in Business Administration, Statistics, or Quantitative Analysis, with Computer Science courses a plus.