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About the Role

As a Data Analyst, you will actively contribute to various initiatives by analyzing data to solve business problems and providing valuable insights. You will understand the insurance business domain and ensure your tasks contribute to meeting business objectives by applying appropriate methods and critical thinking.

Responsibilities

Autonomously perform descriptive and diagnostic analysis using recommended methods (ex: regression, cohort analysis, cluster analysis, A/B testing, factor analysis).
Design and develop metrics to enable descriptive analysis and diagnostic analysis.
Autonomously design proof of concept and deliver with guidance a prototype analytical solution to enable effective storytelling and descriptive/diagnostic analysis.
Work on Data querying (T-SQL, SQL, MySQL, etc.).
Extract, clean, reconcile and prepare the data required for the analysis.
Autonomously communicate findings to colleagues and your manager in an effective manner.

Requirements

3-5 years of relevant experience in Business Intelligence or other relevant domain.
University Degree in Business Intelligence, Computer Science, Actuarial Science, Mathematics, Statistics, or equivalent technical experience.
ACAS or FCAS designations are considered an asset.
Experience solving standard problems by analyzing possible solutions using experience, judgment and precedent & challenging status quo.
Good knowledge and understanding of data analysis, programming, modeling techniques, data warehouse and data management, research, architecture and design.
Experience with Sql, Python, R, Microsoft Fabric is required.
Experience with Service now, Jira, Databricks is an asset.
You influence change and are committed to continuous improvement, in order to exceed client expectations.
Leverage critical thinking skills to identify problems and proactively propose solutions.
Strong communication skills allow you to clearly convey messages.
You’re an effective team player who shares knowledge to support our peers.
Will be subject to a Background check as a condition of employment.

Skills

Data analysis
Programing
Modeling techniques
Data warehouse
Data management
Research
Architecture
Design
T-SQL
SQL
MySQL
Sql
Python
R
Microsoft Fabric
Service now
Jira
Databricks
Critical thinking
Communication

Location

Hybrid

Work Type

Regular Full-Time
Hybrid (2 days in office)

Experience Level

3-5 years

Education Level

University Degree
ACAS or FCAS designations

Salary/Compensations

CAD $60,574.00 to $100,956.00 CAD

Benefits

Training and development opportunities
Flexible work options
Paid time off
Holistic approach to well-being
Physical and mental health programs
Supportive workplace culture
Paid volunteer days
Competitive salary
Incentive programs
Comprehensive total rewards package
Group retirement savings plans
Pension
Benefits (e.g., health and wellness, dental, disability and life coverage)
Mental health support
Employee assistance program

About the Company

CGIC is a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society.
The Claims team aspires to create peace of mind for our clients and our communities.
The national team of knowledgeable and trusted professionals serve our clients with compassion.
The team is passionate about continuous improvement and operates with high-integrity, motivated by the desire to do the right thing for clients.