Operations Data Solutions Analyst

Zurich NA; Columbia (SC); Hybrid; USD 87,000 - 143,000; Full time

Job summary

Zurich North America is seeking an Operations Solutions Analyst to help maximize the value of organizational data. The role focuses on identifying key data scenarios, delivering transparent data to stakeholders, and enabling faster decision-making across the company by ensuring data is accurate and accessible.

The ideal candidate will have strong data management experience and familiarity with data interrogation/analysis techniques, with a hybrid work approach including a presence at the

Qualifications

• Bachelor's Degree with 3+ years in Data Management, or
• High School Diploma or Equivalent with 5+ years in Data Management
• Experience with data interrogation/analysis techniques

Responsibilities

• Establish enterprise-wide accountability for data, linking objectives with data needs and measuring data quality gaps.
• Audit and document findings for Data team and partners.
• Consolidate and map activities across data repositories.
• Contribute to key enterprise initiatives.
• Conduct quality reviews and ongoing monitoring of corporate data.
• Support revenue collection and operational efficiencies.
• Support vendor payment processes, billing reconciliation and financial controls.
• Develop working relationships with technical personnel to enable collaboration.
• Identify data anomalies and escalate to management.
• Support process improvement and automation initiatives.

Skills

Data management experience

Data interrogation/analysis techniques

Education

Bachelor's Degree

High School Diploma or Equivalent

Tools

DTM platforms

CLM solutions

Document automation tools

Workflow automation

Job description

Zurich North America is seeking an Operations Solutions Analyst to help maximize the value of organizational data. The role focuses on identifying key data scenarios, delivering transparent data to stakeholders, and enabling faster decision-making across the company by ensuring data is accurate and accessible.

The ideal candidate will have strong data management experience and familiarity with data interrogation/analysis techniques, with a hybrid work approach including a presence at the