Data Analyst, L&C Strategy and Operations: Data Analytics and Technology Focus
Company: Manulife
Location: Toronto, ON M4W 1E5
Type: Full-time
Level: mid
Posted: 2026-03-05
About this role
Join our LCG Operations & Strategy analytics team to build, enhance and maintain the analytics, dashboards and data foundations teams and leaders use to run the business every day. You’ll turn complex data from our Azure data lake into clear, automated Power BI visualizations and insights that drive decisions, unlock efficiencies, and strengthen governance. In this role, you’ll own end‑to‑end solutions—from designing new tables and SQL logic to managing permissions across Power BI and SharePoint—while applying Python for deeper analytical and forecasting methods. You’ll also explore and apply emerging Generative and Agentic AI tools to accelerate insight generation, automate repeatable analytics tasks, as well as enhance dashboard and data development and quality assurance workflows. You’ll gain broad exposure to senior stakeholders, modern Azure tooling, and best‑in‑class delivery practices in a supportive, global hybrid work environment.
Position Responsibilities:
Partner with Stakeholders to develop intuitive, user-based solutions that resonate with and are embraced by non-technical users. Leveraging strong communication skills and a growth mindset to ensure solutions address both macro and micro perspectives is critical. Specific elements of these solutions include:
- Building, enhancing, and automating advanced Power BI dashboards, optimizing data models/DAX, refresh pipelines, and deployment pipelines; implement and maintain row‑/object‑level security.
- Adapting dashboards based on stakeholder’s analytics needs and continuous maintenance of the analytics and technology stream assets.
- Performing data preprocessing, transformation, and analysis across multiple sources/datasets to develop comprehensive, insight‑driven dashboards that support effective decision‑making for senior leadership.
- Designing and creating new tables and views; write performant SQL to model, transform, and validate data sourced from the Azure data lake (e.g., ADLS Gen2) for anal...