In the past year, the responsibilities of the team have continuously expanded with data analytics as the backbone of all initiatives that are put in place to achieve key metrics. With the growing scope, the In-Force Management Data Analyst will work on collecting, processing, and analyzing large datasets to uncover valuable insights that drive business decisions and improve operational efficiency.

Responsibilities:

Work closely with different business units and cross-functional teams to ensure identified KPIs are monitored and inform stakeholders of critical and actionable insights.

Develop reports and dashboards focused on historical experience of leading and lagging indicators that influence the achievement of key metrics.

Determine opportunities for automation, streamlining and improvement of existing reports and dashboards.

Conduct routine reviews of data, perform tests and analyze results to optimize deliverables and ensure integrity and security of data in accordance with company guidelines and regulations.

Perform exploratory data analysis to identify trends, patterns and correlations that may lead to meaningful findings to the business.

Create data models and algorithms to highlight gaps and capitalize on opportunities for improvement.

Develop meaningful data visualizations and reports to communicate findings to stakeholders effectively.

Competencies:

Analytical Thinking: Ability to analyze complex data sets and derive meaningful insights.

Problem-Solving: Aptitude for identifying data-related problems.

Communication: Clear and effective communication of findings to both technical and non-technical stakeholders

Collaboration: Ability to work effectively with cross-functional teams to achieve common goals.

Attention to Detail: Thoroughness anc accuracy in data analysis and reporting.

Adaptability: Flexibility to adapt to changing project requirements and business needs.

Project / Task Management: Demonstrated ability to support multiple projects simultaneously, effectively and efficiently.

Required Skills:

Strong understanding of and comprehensive experience with statistical methods and data analysis techniques (eg. ETL methodology)

Experience with business intelligence technologies (e.g. Qlikview, QlikSense, Power BI)

Proficiency in programming languages (eg. SQL, Python, R, etc)

Experience with relational databases (eg. Enterprise Data Lake)

Expertise in data visualization and utilization of relevant tools

Optional:

Familiarity with machine learning concepts and actuary principles is a plus.

Ability to communicate and present complex data insights to senior leadership is a plus.

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 recruitment@manulife.com.

Working Arrangement

Hybrid