Data Analyst- Claims

Company: CGIC
Department: Claims
Employment Type: Regular Full-Time
Work Model: Hybrid (2 days in office)
Language: Bilingualism in English and French is an asset.

We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy.  That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose.  The best part is that you will work with people that care passionately about you, our clients and our communities.

Our Claims team aspires to create peace of mind for our clients and our communities. Our national team of knowledgeable and trusted professionals serve our clients with compassion. We are passionate about continuous improvement and operate with high-integrity, motivated by our desire to do the right thing for our clients.

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

• 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.

• You have 3-5 years of relevant experience in Business Intelligence or other relevant domain.
• You have a University Degree in Business Intelligence, Computer Science, Actuarial Science, Mathematics, Statistics, or equivalent technical experience.
• ACAS or FCAS designations are considered an asset.
• You have experience solving standard problems by analyzing possible solutions by using our experience, judgment and precedent & challenging status quo. 
• You have good knowledge and understanding of data analysis, programing, modeling techniques, data warehouse and data management, research, architecture and design.
• Experience with the following technologies is required: Sql, Python, R, Microsoft Fabric
• Experience with the following technologies is an asset: Service now , Jira, Databricks

• You influence change and are committed to continuous improvement, in order to exceed client expectations.
• You leverage critical thinking skills to identify problems and proactively propose solutions.
• Your strong communication skills allow you to clearly convey messages.
• You’re an effective team player who shares knowledge to support our peers.

• You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.

• Training and development opportunities to grow your career.
• Flexible work options and paid time off to support your personal and family needs.
• A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
• Paid volunteer days to give back to your community.
• In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.

Salary information​

Expected  Salary range :  CAD  $60,574.00 to $100,956.00 CAD

The salary amount for the successful candidate is determined by Co-operators in its discretion and will vary depending on several criteria including but not limited to: local market conditions, geography and relevant job-related factors such as knowledge, skills, qualification, experience and education.

Employees may also have the opportunity to participate in incentive programs and earn additional compensation tied to individual and/or business performance, or other business metrics.