Trouvez votre prochaine possibilité

Pourquoi ce poste correspond à votre recherche

• Le titre correspond

Résumé du poste

You will leverage analytical skills to support data-driven decision-making and process improvements across various business functions. The role involves building stakeholder relationships, delivering documented solution requirements, and presenting findings to drive business results.

Détails du poste

*Please note there are specific application instructions required to be considered for this role** This is your opportunity to help shape the future of data-driven decision-making at Manulife through the Data Office. You’ll gain hands-on experience across key areas like Customer Experience, Data Analytics, and Continuous Improvement, while building technical and professional skills through training, mentorship, and networking. This role empowers you to make meaningful impact from day one! Position Responsibilities: Leverage your analytical skills and critical thinking to ask insightful questions, understand business drivers and needs, and bring clarity and precision to the scope and requirements of initiatives. Build and nurture positive, effective relationships to strengthen partnerships with key stakeholders. Apply your training and knowledge effectively in areas such as data mining, analysis and visualization, process assessment, root cause analysis, prioritization, and presentation of findings, with a focus on customer needs and Net Promoter Score (NPS). Deliver well-documented solution requirements and propose solutions clearly and concisely. Lead meetings and present information with strong communication skills across all organizational levels. Prepare our business partners for any changes introduced, ensuring smooth transitions. Recommend business decisions that drive results and address customer challenges. Depending on your team, daily activities may include valuation oversight, trade processing and reconciliation, risk oversight, vendor management, tax compliance, securities lending, financial reporting, client onboarding, shareholder record keeping, data management, and dashboard creation. Required Qualifications: Enrolled in an accredited university for a degree in Computer Science or a related discipline. Strategic thinker with a customer-centric focus. Strong analytical skills and problem-solving skills – using data to tell a story and make data-driven decisions Microsoft Power Suite knowledge is considered a strong asset, or experience with comparable automation tools and data visualization tools. Curiosity and a willingness to learn and adapt. Strong work ethic with a proactive and flexible attitude, eager to contribute wherever needed. Excellent time management, planning, and communication skills. Ability to build and maintain relationships with various stakeholders; a collaborative team player. Understanding of the financial services industry, including wealth and asset management. 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. As part of our co-op program, you will gain early access to Manulife John Hancock’s premier early talent program, GRO, tailored to graduating students! This program is designed to launch your career with the support, structure, and opportunities you need to thrive. Application ​Instructions: Submit your resume, cover letter, academic transcript and work term evaluation (if any) in one PDF file. Salary range is expected to be between 52,650.00 CAD - $60,450.00 CAD 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. The annual salary will be pro-rated based on the length of the work-term. #LI-Hybrid This posting supports an ongoing hiring initiative for existing and/or future vacancies. 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. 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 hr@manulife.com. Working Arrangement Hybrid

Ce que vous ferez

You will leverage analytical skills to support data-driven decision-making and process improvements across various business functions. The role involves building stakeholder relationships, delivering documented solution requirements, and presenting findings to drive business results.

Exigences

Candidates must be currently enrolled in an accredited university degree program in Computer Science or a related discipline. Strong analytical, problem-solving, and communication skills are required, along with a proactive attitude and familiarity with data tools.

Avantages

• Mentorship • Networking opportunities • Training • Flexible environment • Early talent program

Compétences indiquées

• Gestion du temps · Souhaitée
• Visualisation de données · Souhaitée
• Résolution de problèmes · Souhaitée
• Financial Reporting · Souhaitée
• Analyse de données · Souhaitée
• Root Cause Analysis · Souhaitée
• Critical Thinking · Souhaitée
• Communication Skills · Souhaitée
• data management · Souhaitée
• Stakeholder Management · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data mining
• Data analysis
• Data visualization
• Process assessment
• Root cause analysis
• Critical thinking
• Analytical skills
• Communication skills
• Time management
• Stakeholder management
• Problem-solving
• Microsoft Power Suite
• Automation tools
• Financial reporting
• Data management
• Tax Compliance
• Workplace Inclusivity
• Record Keeping
• Net Promoter Score
• Curiosity
• Business Decisions
• Willingness To Learn
• Data Mining Analysis
• Client Onboarding
• Strong Work Ethic
• Information Gathering
• Planning
• Data-Driven Decision Making
• Analytical Skills
• Artificial Intelligence
• Data Analysis
• Asset Management
• Automation
• Reconciliation
• Customer Service
• Communication
• Computer Science
• Continuous Improvement Process
• Critical Thinking
• Data Management
• Data Visualization
• Financial Services
• Financial Statements
• International Finance
• Problem Solving
• Mentorship
• Risk Governance
• Securities Lending
• Shareholder Communications
• Time Management

Domaines d’emploi

• Data & Analytics
• Finance & Accounting
• Technology
• Software
• Data Analytics Manager
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists