Data and Reporting Analyst

Company: Manulife

Location: Toronto, ON M4W 1E5

Type: Full-time

Posted: 2026-03-18

About this role

Are you ready to grow into a future leader?

Join our Reporting and Analytics team and take the next step in your career. This is your opportunity to contribute to impactful, innovative solutions that support key stakeholders across the organization.

Within Global Wealth and Asset Management (GWAM) Retail and Wealth Operations, our team is seeking a motivated, collaborative, and forward‑thinking individual to help design and deliver digital, automated reporting solutions. You’ll work closely with team members and business partners across GWAM Operations, all within a supportive, valued-driven culture that prioritizes your development, wellbeing, and long‑term success.

Position Responsibilities:

  • Develop and maintain dashboards and reports in Power BI to visualize operational performance and key metrics.
  • Perform data modeling, transformation, and analysis across multiple datasets to build insight‑driven dashboards that support decision‑making.
  • Build skills in Microsoft Power Platform (Power BI, Power Automate, Copilot Studio) and SQL, with opportunities to learn additional tools and technologies (Azure, Python, C#, etc.).
  • Manage permissions and access controls across Power BI workspaces and SharePoint sites in alignment with least‑privilege and audit requirements.
  • Document solution requirements and present recommendations in a clear and concise manner.

Required Qualifications:

  • 1–2 years of experience in business intelligence, reporting, or data modeling.
  • Proficiency in Power BI for dashboard development and visualization.
  • Exposure to SQL or similar programming/scripting languages.
  • Basic understanding of the Microsoft Power Platform and Microsoft 365 suite, with a willingness to continue developing these skills.

Preferred Qualifications:

  • Strong communication skills with the ability to translate data into actionable insights.
  • Detail-oriented with a focus on data accuracy and consistency.
  • Exposure to cloud technologies (e.g., Az...

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