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Company 116 - Manulife Investment Management Limited
Data AnalystCompany 116 - Manulife Investment Management Limited • Toronto, Ontario
Data Analyst

Data Analyst

Company 116 - Manulife Investment Management Limited • Toronto, Ontario
7 days ago
Salary
CA$86,100.00 yearly
Job type
  • Full-time
Job description

Collaborating with the Director, Data Design and the Global Wealth and Asset Management (GWAM) Enterprise Data Lake (EDL) Business Support teams, the Data Analyst (Retirement) will play a key role in supporting critical data initiatives and advancing data quality across GWAM and its business partners within the Retirement segment. This position supports the management and continuous improvement of the EDL, ensuring data is available, reliable, consistent, accessible, secure, and timely covering plan and product details as well as participant data. The successful candidate will leverage strong analytical, technical, and problem-solving skills to identify and resolve data issues, support strategic business initiatives, enhance operational processes, and contribute to data governance and analytics capabilities across the organization. This opportunity provides exposure to enterprise-wide data management practices, modern cloud-based technologies, and collaboration with senior business and technical stakeholders within a global financial services environment.

Position Responsibilities

  • Lead and oversee daily EDL production operations, ensuring data is available, reliable, consistent, secure, and timely as the single trusted source for GWAM.

  • Manage and improve data quality by identifying and resolving complex issues, enhancing monitoring frameworks and controls, and implementing common data standards and governance practices across the EDL.

  • Partner with Data Analytics, Data Governance, data engineering, operations, and business stakeholders to design, develop, and implement strategic data solutions and enterprise data initiatives.

  • Maintain and enhance data lineage, business glossaries, data catalogs, metadata, and enterprise data standards in collaboration with Data Governance teams.

  • Drive continuous improvement by automating and streamlining operational processes, developing dashboards and reports (e.g., in Power BI), and defining data quality KPIs, SLAs, and trend metrics.

  • Develop and maintain standard operating procedures, documentation, and training materials for key data management and data quality activities.

  • Act as a subject matter expert for key data domains, translating business requirements into technical solutions and bridging communication between business and technology teams.

  • Support and mentor junior analysts while contributing to best practices, standards, and knowledge sharing to advance data quality maturity.

  • Support organizational transformation by helping the business leverage data as a strategic asset that meets both business objectives and regulatory requirements.

Required Qualifications

  • Bachelor’s degree in Finance, Accounting, Business (Commerce/Analytics/Information Systems), Computer Science, Data/Information Management, or a related field.

  • 4–7 years’ experience in data quality, data management/governance, data operations, or related analytical roles, including operational process management and continuous improvement.

  • Proven hands-on SQL expertise (complex joins, performance tuning, large dataset analysis) for data investigation, analysis, and quality validation.

  • 2–3 years’ experience with Azure Databricks or similar cloud-based data platforms.

  • 2–3 years’ experience with Microsoft Power BI (reporting, dashboard development, data modeling, and visualization).

  • Strong analytical, problem-solving, and root cause analysis skills with demonstrated ownership of issue resolution and process improvement.

  • Strong communication skills with the ability to translate technical concepts into clear business language and gather requirements across business and technology teams.

  • Proven stakeholder management, influencing, and relationship-building capabilities to deliver effective data solutions.

Preferred Qualifications

  • Background in retirement services with direct experience working with plan, product, and participant data.

  • Experience managing large-scale, enterprise-wide operational or data processes, with a strong service orientation and customer-focused mindset, including direct engagement with senior leaders, and executive stakeholders.

  • Proven ability to constructively challenge the status quo, influence stakeholders, and drive change and process-automation initiatives using tools such as Microsoft Power Platform (Power Automate, Power Apps) and AI assistants (e.g., Microsoft Copilot).

  • Advanced education and credentials, such as a Master’s degree and/or relevant certifications in Data Management, Analytics, Azure, Project Management, or related disciplines.

  • Knowledge of the US and Canadian Retirement business domain is a key asset.

  • 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.

The role being advertised is an existing vacancy.

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 .

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 .

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$86,100.00 CAD - $136,100.00 CAD

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 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 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 .

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Data Analyst • Toronto, Ontario

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