As a Data Analyst supporting AI development, you will play a critical role in transforming raw data into actionable insights that inform and optimize AI-driven solutions. This role offers the opportunity to work closely with cross-functional teams to shape the future of AI-powered solutions. You’ll contribute to strategic decision-making, model performance evaluation, and data governance in a fast-paced, innovation-driven environment.
Position Responsibilities
- Collect, clean, and prepare structured and unstructured data for AI model training and evaluation.
- Collaborates with cross-functional teams, including business analysts, developers, and stakeholders, to understand data requirements and provide insights.
- Conducts data mapping exercises, identifying data sources, understanding data structures, and profiling data to ensure accuracy and completeness.
- Collaborates with stakeholders to gather and document detailed requirements for data-related projects and works closely with data engineers to understand data structures, storage, and retrieval mechanisms, ensuring that insights can be effectively implemented.
- Translates data-driven insights into clear user stories or business requirements that can guide the development of data-related solutions.
- Contributes to evidence-based decision-making within the organization, and helps the business understand its performance, uncover trends or anomalies, identifies areas for improvement, and capitalizes on opportunities for growth.
- Develop dashboards and visualizations to present data in a visually understandable manner while communicating findings effectively to all types of stakeholders through compelling narratives supported by visualizations.
- Conduct statistical analysis and hypothesis testing to validate model outputs and guide experimentation.
- Ensure data quality and compliance with governance standards.
- Support the deployment and monitoring of AI models in production environments.
- Stay current with emerging AI tools, techniques, and industry best practices.
- Amendable to working in QC (hybrid setup) and on a mid-shift schedule (or as required by the business)
Required Qualifications
- 3+ years of experience in data analysis, preferably in AI or machine learning environments.
- Proficiency in SQL and Python for data manipulation and analysis.
- Experience with data visualization tools (e.g., Power BI, Tableau).
- Exposure to low-code/no-code platforms like Microsoft Power Platform.
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
Preferred Qualifications
- Experience working with AI platforms (e.g., Microsoft Copilot, Power Platforms).
- Knowledge of data governance, privacy, and ethical AI principles.
- Familiarity with machine learning concepts and model evaluation metrics.
- Strong communication skills and ability to translate data insights into business recommendations.
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 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.
Hybrid