Role Description Role Data Modeller Policy Claim
Location Mississauga Ontario Onsite
Primary Skill
The IT Data Modeler is responsible for designing developing and maintaining enterprise data models that support insurance operations reporting analytics underwriting claims policy administration risk management and regulator reporting The role requires solid expertise in insurance data concepts relational database design data modelling methodologies and data governance practices
Policy Administration Claims Management Underwriting Risk Exposure Premium Billing Coverage Endorsements Broker Customer Data Regulatory Reporting
Experience in Years 5 years Must Have Skills Conceptual Logical Physical Data Modeling
ER Modeling and Dimensional Modeling StarSnowflake
Snowflake Database Design Normalization Denormalization
Data Governance Metadata Management Data Quality
ERStudio PowerDesigner Visio
Secondary Nice To Have Skills NOT MANDATORY Policy Claims Billing Customer Broker Risk Coverage and Reinsurance domains
Soft Skills Strong analytical thinking stakeholder management communication problem solving collaboration documentationand Agile delivery experience
3 Qualifying Questions 1Design conceptual logical and physical data models
2 Create models for Policy Claims Billing Customer Broker Risk Coverage and Reinsurance domains
3 Develop dimensional models for reporting and analytics
4 Maintain sourcetotarget mappings metadata and data dictionaries
5 Support database optimization data quality governance audit and compliance initiatives
6 Collaborate with Business Architecture Engineering and Analytics teams
Other Details Vacancy Type: New Vacancy
Benefits And Perks Comprehensive Medical Plan Covering Medical, Dental, Vision
Health Care Spending Account
Short Term and Long-Term Disability Coverage
Life Insurance




Annual vacation and other Paid Leaves
Maternity Leave Top Up Pay
The range displayed on each job posting reflects the total compensation range for the position across all Canada locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer : The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Accessibility and Reasonable Accommodation : LTIMindtree has an accommodation process in place and provides accommodations for applicants with disabilities. If you require a specific accommodation because of a disability or a medical need, please write to us at [email protected] so that arrangements can be made for the appropriate accommodations to be in place.

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📌 Specialist - Data Engineering (Ontario)
🏢 LTM
📍 Ontario