Hybrid Claims Data Analyst: Insightful Analytics

Co-operators; Mississauga; Hybrid; CAD 61,000 - 101,000; Full time

Benefits offered by this job

Training and development

Flexible work options

Well-being programs

Volunteer days

Total rewards package

Job summary

CGIC, a leading Canadian financial services co-operative, invites a Data Analyst to join the Claims team on a regular full-time basis with a hybrid work model (2 days in office). You will analyze data to solve business problems, build metrics, and deliver insights that support strategic objectives across claims operations.

The role requires 3-5 years in BI or related field, a university degree in BI/CS/actuarial/math/statistics, and proficiency in SQL, Python and R. ACAS/FCAS are assets.

Qualifications

• University degree or equivalent technical experience in BI/CS/actuarial/math/statistics.
• Strong data analysis skills and understanding of data warehousing and data management.
• Experience with SQL, Python and R in data analytics projects.

Responsibilities

• Perform descriptive and diagnostic analysis using regression, cohort, and A/B testing techniques.
• Design metrics to enable descriptive and diagnostic analytics.
• Prepare data through extract, clean, reconcile steps and communicate insights clearly.

Skills

SQL

Python

R

Microsoft Fabric

Education

University Degree in Business Intelligence, Computer Science, Actuarial Science, Mathematics, Statistics

Tools

Service Now

Jira

Databricks

Job description

CGIC, a leading Canadian financial services co-operative, invites a Data Analyst to join the Claims team on a regular full-time basis with a hybrid work model (2 days in office). You will analyze data to solve business problems, build metrics, and deliver insights that support strategic objectives across claims operations.

The role requires 3-5 years in BI or related field, a university degree in BI/CS/actuarial/math/statistics, and proficiency in SQL, Python and R. ACAS/FCAS are assets.