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Gro - data analyst

Job in Toronto, Ontario, C6A, Canada
Listing for: Société Financière Manuvie
Full Time position
Listed on 2026-09-23
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 90000 CAD Yearly CAD 60000.00 90000.00 YEAR
Job Description & How to Apply Below

At Manulife, we believe in investing in the future starting with you! Our GRO program is a bold new approach to early talent development, designed to launch your career with the support, structure, and opportunities you need to thrive. GRO is Manulife’s flagship early talent program. It’s more than just a job, it’s a launchpad for your career. GRO offers a consistent, high-quality experience for new graduates across the organization.

Step into your future as a Data Analyst - this is your opportunity to help shape the future of data-driven decision-making at Manulife through the Data Office, a specialized stream within the Operations stream of the GRO program. Over 18 months, you’ll contribute to transforming operations by leveraging data as a strategic asset-developing tools and insights that directly support our business goals.

You’ll gain hands‑on experience across key areas like Customer Experience, Data Analytics, and Continuous Improvement, while building technical and professional skills. As part of GRO Operations, you’ll gain access to a supportive community, and benefit from structured learning, core skills training, mentorship, and leadership exposure, empowering you to grow your skills while making a real impact. With a values-first culture, professional development at every step, and a focus on your wellbeing and accelerated career progression, GRO Operations is your gateway to a meaningful and future‑ready career.

Position Responsibilities:

As a Data Office New Graduate, you will help design and deliver data, automation, and AI-enabled solutions that improve how we work and make decisions.

  • Collaborate across teams to deliver high-impact, end-to-end solutions
  • Contribute across the full lifecycle-from idea to deployment and ongoing improvement
  • Identify opportunities to use data, automation, and AI to drive measurable outcomes
  • Communicate effectively and continuously grow your technical, analytical, and business skills client onboarding, shareholder record keeping, data management, and dashboard creation.

Depending on your interests and team placement, you may contribute across one or more of the following areas:

  • Data Solutions Engineer
    • Build and deliver end-to-end data solutions, from ingestion and transformation to modelling and visualisation
    • Develop scalable data pipelines and architectures to power analytics and AI use cases
    • Translate business needs into impactful dashboards, reports, and data products (e.g., Power BI)
    • Apply strong data governance and quality practices to ensure trusted, reliable insights
  • Business Analyst (Digitisation and Automation)
    • Partner with stakeholders to understand challenges and identify opportunities for automation and improvement
    • Turn business needs into clear requirements, user stories, and process maps
    • Lead or support analysis for automation and AI initiatives, including prioritisation and benefits tracking
    • Support testing, change readiness, and stakeholder communication to drive successful adoption
  • Developer (Automation and Digital Solutions)
    • Design and build automation and digital solutions using Power Platform, Azure, and modern programming tools
    • Develop AI-enabled applications and workflows using Azure AI, Copilot, and related technologies
    • Turn business requirements into scalable, user-friendly technical solutions
    • Optimise, troubleshoot, and enhance applications to drive continuous improvement
Required Qualifications:
  • Expected to graduate in Spring 2027 from an accredited university with a degree in Computer Science, Engineering, Data Science, or related field.
  • Strategic thinker with a customer-centric focus.
  • Strong analytical skills and problem-solving skills - using data to tell a story and make data-driven decisions
  • Microsoft Power Suite knowledge is…
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