AI-Driven Data & Operations Solutions Analyst

Zurich 56 Company Ltd

Schaumburg (IL)

Hybrid

USD 87,000 - 143,000

Full time

10 days ago

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Job summary

Zurich North America is seeking an Operations Solutions Analyst to join the Resilience Solutions team. This hybrid role allows remote work with a Schaumburg headquarters presence preferred, focusing on turning data into actionable insights.

You will build dashboards, identify data quality gaps, and collaborate with business partners to automate processes, improving efficiency and decision-making across the organization.

Qualifications

  • Bachelor's degree and 3+ years of experience in Data Management.
  • Or High School Diploma with 5+ years of experience in Data Management.
  • Experience with data interrogation/analysis techniques.

Responsibilities

  • Establish enterprise-wide accountability for data and link objectives to data needs.
  • Develop and maintain dashboards, metrics, and reporting on vendor performance and billing operations.
  • Research, audit and document findings for Data team and stakeholders.
  • Identify and implement automation opportunities to improve efficiency and data quality.
  • Leverage AI capabilities to automate vendor contract and billing processes.
  • Support vendor governance through data analysis and process documentation.
  • Consolidate and map activities across data repositories.
  • Conduct quality reviews and monitor key corporate data.

Skills

Data analysis
Data management
Data quality
Communication

Education

Bachelor's degree in Data Management or related field
High School Diploma or equivalent with 5+ years of experience

Tools

DTM platforms
Contract Lifecycle Management (CLM)
Document automation tools
Workflow automation technologies

Job description

Zurich North America is seeking an Operations Solutions Analyst to join the Resilience Solutions team. This hybrid role allows remote work with a Schaumburg headquarters presence preferred, focusing on turning data into actionable insights.

You will build dashboards, identify data quality gaps, and collaborate with business partners to automate processes, improving efficiency and decision-making across the organization.

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