Digital Analytics Manager

Manulife group; Toronto; Hybrid; CAD 93,000 - 143,000; Full time

Job summary

Manulife in Toronto, Ontario is seeking a Digital Analytics Manager to lead the analytics strategy for the Global Digital Storefront. You will collaborate with digital marketing, product, and tech teams to deliver reporting, insights, and data-driven recommendations.

The role focuses on measuring performance across regions and digital properties, ensuring data quality, and enabling self-serve analytics through standardized frameworks.

Qualifications

• Minimum 5 years’ experience with advanced digital analytics platforms (Adobe Analytics, Analysis Workspace, etc.).
• 2+ years of business analysis in large organizations with multiple functions.
• Data management and visualization experience (Power BI or Tableau, SQL, R).
• Experience measuring digital performance, including mobile analytics.
• Advanced proficiency with Databricks (SQL, PySpark, Delta Lake) and PowerBI.
• Hands-on Python for data science (pandas, numpy, scikit-learn) and MLflow for experiments.
• Expertise in experimentation design, attribution, MMM, CLV, and privacy-aware analytics.
• Strong analytical rigor, storytelling, and executive-ready communication.
• Stakeholder influence and change management across marketing, digital engineers, and MarTech.

Responsibilities

• Own the end-to-end reporting and insights strategy for the Global Digital Storefront.
• Design, build, and maintain measurement plans and self-serve dashboards.
• Translate complex digital data into actionable insights for multiple teams.
• Define KPIs aligned to Storefront objectives as platform evolves.
• Provide regular performance readouts and deep-dive analyses with recommendations.
• Enable self-serve insights via robust reporting frameworks and analytics best practices.
• Partner with Product Owners to embed reporting requirements into epics and stories.
• Monitor data quality and resolve tracking gaps with tagging/engineering.
• Measure impact of enhancements, experiments, and releases across Storefront ecosystem.

Skills

Adobe Analytics

Power BI

Tableau

SQL

Python (data science)

Data visualization

R

Stakeholder communication

Analytics storytelling

Tools

Analysis Workspace

Adobe Target

Audience Manager

Real-Time CDP

Adobe Experience Platform

Databricks (SQL, PySpark)

Power BI

Tableau

Python

Job description

Digital Analytics Manager will play a critical role in enterprise-wide Global Digital Storefront initiatives, joining Manulife’s Global Digital Marketing to drive the successful implementation and continuous evolution of the organization’s digital strategy across consumer markets. This role partners closely with digital marketing teams, product leaders, and business stakeholders to deliver insightful reporting, advanced analysis, and data-driven recommendations that inform strategic and tactical decision-making.

This position requires a highly motivated analytics leader with a strong passion for digital data and optimization. The Digital Analytics Manager will be responsible for collecting, analyzing, and interpreting complex digital data, synthesizing results into clear, actionable insights that improve business outcomes. Leveraging an increasingly mature digital analytics ecosystem, the incumbent will analyze user behavior across major Manulife digital properties to measure performance, identify opportunities, and continuously optimize customer experiences. Through strong analytical, communication, and problem-solving skills, this role will influence digital strategy, enhance performance, and help elevate the effectiveness of enterprise digital initiatives.

Position Responsibilities:

• Own the end - to - end reporting and insights strategy for the Global Digital Storefront, ensuring consistent, scalable, and accurate measurement across regions, brands, and digital properties.


• Design, build, and maintain standardized measurement plan and self-serve dashboards and reports that track Storefront performance, including acquisition, engagement, conversion, retention, and customer journey metrics.


• Translate complex digital data into actionable, business - focused insights that support decision - making across Marketing, Product, Technology, and senior leadership.


• Define and operationalize key performance indicators (KPIs) aligned to Storefront business objectives, ensuring ongoing relevance as the platform and digital strategy evolve.


• Provide regular performance readouts and deep - dive analyses that highlight trends, risks, opportunities, and optimization recommendations for Storefront initiatives.


• Enable stakeholders to self - serve insights by establishing robust reporting frameworks, documentation, and analytics best practices within Adobe Analytics and related platforms.


• Partner with Product Owners and squad teams to embed reporting requirements into epics and user stories, ensuring measurement is built into Storefront features by design.


• Monitor data quality and consistency across Storefront reporting, working closely with tagging and engineering teams to resolve tracking gaps or discrepancies.


• Support continuous optimization by clearly measuring the impact of enhancements, experiments, and releases across the Global Digital Storefront ecosystem.

Required Qualifications:

• Minimum 5 years’ experience working with advanced digital analytics platforms such as Adobe Analytics, Analysis Workspace, Adobe Target, Audience Manager, Real-Time CDP, Adobe Experience Platform, or similar enterprise tools.


• 2+ years of business analysis experience in large organizations with multiple functions and/or business units.


• Data management and visualization experience (Power BI or Tableau, SQL, R).


• Experience measuring digital performance, including mobile analytics.


• Advanced proficiency with Databricks, including SQL, PySpark, Delta Lake, Workflows, Unity Catalog) and PowerBI.


• Hands-on Python for data science: pandas/numpy/scikit-learn/statsmodels/PySpark; MLflow for experiment tracking and model registry; CI/CD and testing.


• Expertise in experimentation design, attribution methodologies, incrementality, measurement, MMM, CLV and privacy aware analytics in regulated industries.


• Analytical rigor and systems thinking across data, measurement and modeling layers.


• Analytics engineering, and Python modeling.


• Strong data storytelling, insight synthesis, and executive-ready communication.


• Stakeholder influence and change management, especially across marketing, digital engineers, and MarTech.


• Deep experimentation mindset, measurement discipline and ROI orientation.


• Demonstrated ownership, bias for action, and comfort with ambiguity.

Preferred Qualifications:

• Analytics experience in an agile project environment is a plus.

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.

#LI-Hybrid

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 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 [e-mail].

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$92,900.00 CAD - $142,900.00 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 [e-mail] 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 [e-mail] 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.

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