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.
The Opportunity:
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.
How you will create impact:
- 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.
To join our team:
- 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 require