Insights‑Focused Data Analyst (Power BI, SQL)

Canada Life; Winnipeg; Hybrid; CAD 66,000 - 110,000; Full time

Benefits offered by this job

Career Development

Health & Wellness

Time Off

Financial Security

Rewards & Recognition

ERGs & Social

Job summary

Canada Life in Winnipeg is seeking a Data Analyst to join the Canada Operations & Business Enablement, Data Analytics and Reporting team. The role spans descriptive, diagnostic, and predictive analytics across the organization with a hybrid work model requiring in-office presence three days per week.

You will translate business needs into data, build dashboards, and present insights to leaders using SQL, Python, Power BI, and Azure Databricks to drive informed decisions and improved performance.

Qualifications

• 1–3 years of relevant experience and a bachelor’s degree in a related field, or an equivalent combination of education and experience.
• Microsoft Certified: Power BI Data Analyst Associate certification is preferred.
• Proficiency with SQL, Python, SQL Server, Databricks, and Power BI for interactive dashboards.

Responsibilities

• Translate business needs into data requirements; collect, clean, explore, model, and analyze large datasets and visualize results for leadership.
• Build, implement and maintain data models, custom reports, and dashboards.
• Work with large, imperfect datasets and ensure data quality and integrity.
• Communicate insights clearly to business leaders and stakeholders.

Skills

Power BI

SQL

Python

Azure Databricks

Data modelling

Education

Bachelor’s degree in related field

Tools

Power BI

SQL Server

Azure Databricks

Job description

Canada Life in Winnipeg is seeking a Data Analyst to join the Canada Operations & Business Enablement, Data Analytics and Reporting team. The role spans descriptive, diagnostic, and predictive analytics across the organization with a hybrid work model requiring in-office presence three days per week.

You will translate business needs into data, build dashboards, and present insights to leaders using SQL, Python, Power BI, and Azure Databricks to drive informed decisions and improved performance.