×
Register Here to Apply for Jobs or Post Jobs. X

GRO - Data Analyst

Job in Montreal, Montréal, Province de Québec, Canada
Listing for: Manulife Financial
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Systems & Technology Analysis, Data Science Manager
Salary/Wage Range or Industry Benchmark: 65000 - 78000 CAD Yearly CAD 65000.00 78000.00 YEAR
Job Description & How to Apply Below
Location: Montreal

At Manulife, we believe in investing in the future starting with you! Our GRO program is a boldnew approach to early talent development, designed to launch your career with the support, structure, and opportunities you need to thrive. GRO is Manulife’sflagshipearly talent program.

It’smore than just ajob,it’sa launchpad for your career. GRO offersa 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 byleveragingdata as a strategic asset—developing tools and insights that directly support our business goals.

You’llgain hands-on experience across key areas like Customer Experience, Data Analytics, and Continuous Improvement, while building technical and professional skills. As part ofGRO Operations,you’llgain 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 atevery 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 considered a strong asset, or experience with comparable automation tools and data visualization tools.
  • Working knowledge of Python for scripting, automation, integration, or data-related tasks;
    Exposure to Azure, APIs, cloud concepts, or low-code platforms is an asset.
  • A curious and open mind with the ability to think creatively, challenge the status quo, and continuously seek new perspectives
  • Strong work ethic with a proactive and flexible…
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary