~~Key Responsibilities:~~

Gathers data from various sources, including databases, spreadsheets, logs and external datasets scrubs and cleans data to remove inconsistencies, errors or missing values, to ensure data accuracy and accountability.
Converts raw data into a format suitable for analysis which might involve normalization, aggregation, or other transformations.
Assists in building models to forecast future trends or outcomes based on historical data.
Designing and developing charts, graphs, and dashboards that help users to understand complex data.
Creating regular or ad-hoc reports and analyses for management that highlight key metrics and trends, providing analysis on the success of business operations.
Collaborate and directly work with cross-functional teams, including business analysts, developers, stakeholders to gather and understand data requirements, provide insights, present findings and analysis.
Conduct data mapping exercises, identifying data sources, understanding data structures, and profiling data to ensure accuracy and completeness.
Translate data-driven insights into clear user stories or business requirements that can guide the development of data-related solutions.
Proactively identifying and implementing process improvement opportunities to improve the accuracy and efficiency of assigned reports.
Provide training and mentorship to team members, and, where applicable, to individuals outside the team, on reporting processes and technical skill development.
Undertake complex ad-hoc requests and projects as required.

Qualifications:

Education: Bachelor's degree in any field.
At least 5 years experience in any data analysis, business reporting, business intelligence, or similar roles preferably within the BPO or Shared Services industry.

Work Arrangement & Schedule:

Hybrid Work Setup: Willingness and flexibility to work both onsite and from home, based on business requirements and/or external conditions.
Shift Schedule: Willingness to work morning and mid shifts, as required by business needs.

Technical Knowledge:

Should have proficiency on Microsoft Excel, Microsoft PowerPoint, MS SQL, Power Query, Power BI, Power Apps, and Power Automate.
Familiarity with R or Python for data manipulation and analysis.
Understanding of ETL processes and data warehousing concepts.
Knowledge of machine learning fundamentals and predictive analytics.
Experience with cloud data platforms (e.g., Azure Data Lake, MS SQL, EDL).

Skills:

Data Transformation
Data Visualization
Data Storytelling
Programming Languages (SQL, Python, R)
Data Warehousing and ETL
Predictive Analytics
Data Governance and Quality
Business Requirements Translation
Communication and Stakeholder Management
Ability to adapt to evolving tools, technologies, and methodologies.

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

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 stor ed 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 .

Working Arrangement

Hybrid

Sr. Data Analyst