Remote Data Modeler (Erwin/MDM) for Insurance

BairesDev

Peru (IL)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

100% remote
USD compensation
Flexible hours
Parental leave
Mentorship

Job summary

BairesDev is looking for a Data Modeler to contribute to the data modeling workstream of an active MDM implementation, using Erwin to design logical, physical, and conceptual models with a collaborative, global team.

You will apply insurance domain knowledge to shape robust data structures, support data visualization, and ensure data quality and governance across the organization while enjoying 100% remote work, flexible hours, and competitive USD compensation.

Qualifications

  • 3+ years of data modeling experience.
  • Solid data modeling methodologies and best practices.
  • Proficient in Erwin Data Modeling.
  • Familiar with insurance industry data structures.
  • Experience in data visualization.
  • Advanced English proficiency.

Responsibilities

  • Develop and maintain data models across multiple data sources as part of an MDM implementation.
  • Work with Erwin to design logical, physical, and conceptual data models.
  • Collaborate with fellow data modelers and the project manager to ensure consistent delivery.
  • Apply insurance domain knowledge to inform accurate and meaningful data structures.
  • Support data visualization efforts to communicate models and relationships to stakeholders.

Skills

Data modeling
English proficiency
Collaboration
Data visualization

Tools

Erwin Data Modeling

Job description

BairesDev is looking for a Data Modeler to contribute to the data modeling workstream of an active MDM implementation, using Erwin to design logical, physical, and conceptual models with a collaborative, global team.

You will apply insurance domain knowledge to shape robust data structures, support data visualization, and ensure data quality and governance across the organization while enjoying 100% remote work, flexible hours, and competitive USD compensation.

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