GRO - Data Analyst

Job summary

You will design and deliver data, automation, and AI-enabled solutions to improve business decision-making and operational efficiency. You will collaborate across teams to manage the full lifecycle of data products, from initial idea to deployment and ongoing improvement.

Job details

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 skillsclient 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 attitude, eager to contribute wherever needed. Excellent time management, planning, and communication skills. Ability to build and maintain relationships with various stakeholders; a collaborative team player. Understanding of the financial services industry, including wealth and asset management. When you join our team: We’ll empower you to learn and grow the career you want. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. As part of our global team, we’ll support you in shaping the future you want to see. Application Instructions: Please submit a resume & cover letter in one PDF file #LI-Hybrid This posting supports an ongoing hiring initiative for existing and/or future vacancies. About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html. Manulife is an Equal Opportunity Employer At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com. Referenced Salary Location Toronto, Ontario Working Arrangement Hybrid Salary range is expected to be between Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location. Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions. We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

What you’ll do

You will design and deliver data, automation, and AI-enabled solutions to improve business decision-making and operational efficiency. You will collaborate across teams to manage the full lifecycle of data products, from initial idea to deployment and ongoing improvement.

Requirements

Candidates must be graduating in Spring 2027 with a degree in Computer Science, Engineering, Data Science, or a related field. Strong analytical, problem-solving, and communication skills are required, along with proficiency in data tools and a proactive, customer-centric mindset.

Benefits

• Health insurance • Dental insurance • Mental health support • Vision insurance • Short-term disability • Long-term disability • Life insurance • AD&D insurance • Adoption/surrogacy benefits • Wellness benefits • Employee/family assistance plans • Retirement savings plans • Pension • Global share ownership plan • Paid time off • Vacation days • Personal days • Sick days

Listed skills

• Microsoft Azure · Preferred
• Time management · Preferred
• Data visualization · Preferred
• Power BI · Preferred
• Problem solving · Preferred
• Data analysis · Preferred
• Communication · Preferred
• Process Mapping · Preferred
• Business analysis · Preferred
• Stakeholder Management · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data analysis
• Automation
• Artificial intelligence
• Data visualization
• Python
• Power BI
• Azure
• Data governance
• Data modeling
• Business analysis
• Process mapping
• Problem-solving
• Strategic thinking
• Communication
• Time management
• Stakeholder management
• Workplace Inclusivity
• Stakeholder Communications
• Record Keeping
• Workflow Management
• Low-Code Development Platform (LCDP)
• Process Mapping
• Curiosity
• Time Off Management
• Microsoft Power Platform
• Talent Development
• Strong Work Ethic
• Information Gathering
• Planning
• Data-Driven Decision Making
• Analytical Skills
• Application Programming Interface (API)
• Artificial Intelligence
• Data Analysis
• Asset Management
• Build Automation
• Microsoft Azure
• Mental Health
• Dashboard
• Business Requirements
• Customer Service
• Computer Science
• Continuous Improvement Process
• Creative Thinking
• Data Governance
• Data Management
• Data Visualization
• Programming Tools
• Financial Services
• Financial Education

Job areas

• Data & Analytics
• Technology
• Finance & Accounting
• Software
• Management & Leadership
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists