Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
This role serves as a data subject matter expert for sales leaders and wholesalers, aiding in the diagnosis of sales results. Through predictive and descriptive analytics, along with data visualization, the Analyst will enhance the company's capability to leverage analytics for growth.
Responsibilities
- Define, implement, and monitor comprehensive business strategies to drive organizational growth and achieve KPIs.
- Ensure ongoing strategic alignment with short and long-term business objectives.
- Enable effective working relationships with the sales team, finance, and technology partners.
- Engage and communicate strategic data programs across the Advice Canada business.
- Oversee and support projects throughout the entire analytics lifecycle.
- Present and communicate insights and recommendations in a visual and simplified language.
- Work with large datasets that are not consistently clean or fully modelled.
- Learn to retrieve data from systems using multiple languages.
- Build, implement, and maintain data models, custom reports, and dashboards.
Requirements
- Master’s degree in a related field of study, or an equivalent combination of a bachelor’s degree and extensive related work experience.
- CFA certification is an asset.
- Experience within the Insurance & Financial Services sector would be an asset.
- Experience working with data analytics tools (SQL, Python, R), Databases (SQL Server), Cloud (Azure), and data visualization tools (Power BI).
- Experience working with raw data and manipulating large datasets.
- Subject matter expertise in data analytics.
- Polished communication and presentation skills.
- Strong analytical skills for problem-solving and monetizing value for the organization.
- Ability to work with little to no documentation or instruction.
- Ability to think outside the box and identify solutions to overcome obstacles.
- Experience working on project teams to analyze business needs.
- Proven ability to learn and handle multiple priorities in a challenging work environment.
Skills
- SQL
- Python
- R
- Azure
- Power BI
- Data Analytics
- Data Visualization
- Predictive Analytics
- Descriptive Analytics
- Data Modeling
- Reporting
- Communication
- Presentation
- Analytical Skills
- Problem Solving
Location
- Canada
Work Type
- Temporary
- Full-time
- Hybrid
Education Level
- Master's degree
- Bachelor's degree
Salary/Compensations
- $65,800 - $109,700
Benefits
- Career Development opportunities
- Access to industry-leading learning programs
- Up to $2,000 annually towards education reimbursement
- Flexible health and dental benefits
- $5,000 mental health benefit
- In addition to regular vacation and personal days
- Volunteer day
- Company-matching pension plan
- Share ownership program
- Additional investment options
- Employee recognition programs
- Service milestone celebrations
- Employee discounts
- Employee Resource Groups (ERGs)
- Mentorship programs
- Social clubs and events
About the Company
- We’re united by a shared purpose: to improve the financial, physical and well-being of Canadians.
- Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.
- We’re looking for people who live our values everyday: we step up, we do the right thing, and we deliver – for our customers, communities and each other.
- Learn more about Canada Life.
Equal Opportunity
- We’re committed to removing barriers and ensuring equal access to employment.
- Applicants requiring reasonable accommodation during the application process may contact talentacquisitioncanada@canadalife.com.
- All information provided will be handled in accordance with applicable laws and Canada Life policies.
- Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted.