Data Modeler

LTM

$110K — $130K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data modeling, particularly in commercial insurance
  • Strong proficiency in Snowflake and SQL for data warehouse implementations
  • Experience with SCD1, SCD2, and SCD3 dimension models
  • Familiarity with Erwin Data Modeler for creating conceptual, logical, and physical data models
  • Understanding of data governance, lineage, and quality frameworks within the insurance domain
  • Ability to translate complex business requirements into clear data structures via effective communication

Responsibilities

  • Design and develop logical and physical data models for data warehouse and data mart layers
  • Translate business requirements into relevant data models while ensuring data consistency and integrity
  • Perform data analysis on source data to inform model development
  • Map source data structures to target models and schemas during the ingestion process
  • Define data entities, attributes, and relationships based on diverse business needs and data sources
  • Collaborate with stakeholders to gather requirements and clarify data model specifics

Benefits

  • Remote work flexibility
  • Collaborative work environment with cross-functional teams
  • Opportunities for professional development in data modeling and insurance domains
  • Engagement in innovative projects utilizing Snowflake and cloud technologies
  • Focus on data governance and quality assurance for impactful data management solutions
Full Job Description
Role description

Role Data Modeler Large Commercial Insurance

Location Remote

Primary Skills

Design and develop Logical Physical Data Models for Data Warehouse Data Mart layers in Snowflake

Experience in translating business requirements into logical and physical data model

Ability to perform data analysis on source data to come up with relevant models

Experience in developing SCD1SCD2SCD3 Dimension Data models and data warehouse

Define data entities attributes and relationships based on business requirements data sources and analytical needs

Map source data structures to target data models and schemas ensuring data consistency integrity and quality during the ingestion process

Strong experience working with Erwin Data Modeler for conceptual logical and physical models

Strong in Snowflake data warehousing concepts staging curated layers marts

Strong SQL skills with the ability to validate transformations and model outputs

Insurance Domain Expertise Underwriting Policy Administration Claims Reinsurance

Secondary Skills

Data Vault Modelling

Master Data Management MDM

Metadata Management Canonical Data Models

Data Governance Data Lineage Data Quality Frameworks

AWS Azure Cloud Platforms

Soft Skills

Communication Skills Ability to interact with business users architects analysts and developers to understand and clarify requirements

Analytical Thinking Ability to understand complex business processes and translate them into structured data models

Stakeholder Management Ability to collaborate effectively with business SMEs project teams and leadership across multiple functions

Attention to Detail Ensuring accuracy in data models relationships naming conventions and data definitions

ProblemSolving Skills Ability to identify data issues assess impacts of system changes and recommend effective solutions

Qualifying Questions

1Do you have Experience in building data model for data warehousing

2Do you have experince in building data models for insurance domain

3Do you have experince in data profiling

4Do you have experience working with Snowflake

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