About the role

Senior Analyst in Data & Analytics at Canada Life, enhancing decision making with advanced analytics and statistical techniques. Involved in supporting analytics solutions and overseeing projects from ideation to implementation.

Responsibilities

Translate business needs into data requirements; collect, integrate, clean, model, and analyze large datasets; and visualize and present insights to business leaders.
Build, implement and maintain data models, custom reports, and dashboards.
Use Azure Databricks and advanced SQL to transform and model data, and Power BI to deliver governed, insight ‑ driven reporting and analytics solutions.
Work with large datasets that are not consistent, clean, or fully modelled.
Apply strong communication, influence, and strategic thinking to shape analytics solutions and drive business decisions.
Define, implement, and monitor metrics and KPIs and ensure ongoing strategic alignment with short and long-term business objectives.
Enable effective, efficient working relationships with business partners.
Work closely with senior leaders to understand business drivers and enable them to make decisions based on data.
Oversee and support projects throughout the entire analytics lifecycle.
Assist the business in the ideation of new analytics initiatives ranging from descriptive, diagnostic, predictive to prescriptive.
Present and communicate insights and recommendations in a visual and simplified manner.
Retrieve, integrate, and transform data from multiple systems using SQL, Python, and other scripting languages.

3-5 years of relevant experience and a master’s degree in related field of study, or an equivalent combination of bachelor’s degree and extensive related experience.
Strong experience in working with data analytics tools (SQL, Python), Databases (SQL Server), Cloud (Azure, Databricks), data visualization tools (Power BI) with demonstrated experience at creating interactive dashboards.
Ability to write complex and efficient SQL and Python queries to extract, integrate and transform data from multiple sources and automate data pipelines.
Advanced skills in Power BI, Data Modeling, Power Query, and DAX Microsoft Power BI Data Analyst (PL ‑ 300) certification preferred.
Strong experience working with raw data and manipulating large datasets.
Subject matter expertise in data analytics and statistical modelling.
Polished communication and presentation skills to audiences including senior leadership.
Strong analytical skills for problem solving and to monetize value for the organization.
Ability to work with little to no documentation or instruction.
Think outside the box and identify solutions to overcome obstacles.
Proven ability to learn and handle multiple priorities in a challenging work environment.
Experience within the Financial Services sector would be an asset.
Reliability Status Security Clearance – this can only be completed with candidates who receive an offer of employment.

Opportunities for career advancement, access to industry-leading learning programs and up to $2,000 annually towards education reimbursement.
Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.
In addition to regular vacation and personal days, we support community involvement with a volunteer day.
Company-matching pension plan, share ownership program and additional investment options.
Employee recognition programs, service milestone celebrations, employee discounts and more!
We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.