Personal Investing Business Intelligence Analyst

Requirements

• Experience in financial services, retirement, or investment management
• Proficiency in SQL and/or Python for data analysis and data manipulation
• Experience working in agile or SAFe delivery environments
• Familiarity with semantic data modeling and modern data architectures
• Experience in a global or matrixed organization
• 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.
• 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
• Referenced Salary Location
• Boston, Massachusetts
• Working Arrangement
• Hybrid
• Salary range is expected to be between
• $61,875.00 USD - $103,125.00 USD

Benefits

Additional Information

The Business Intelligence Analyst will support the delivery of analytics, reporting, and data solutions that enable informed business decision-making across Marketing, Product, Finance, and Strategy. This role sits at the intersection of business and data, helping translate complex datasets into meaningful insights and scalable reporting tools. Position Responsibilities Data Analysis & Insights Analyze business performance across financial results, customer behavior, and digital engagement to identify trends, risks, and opportunities Synthesize complex data into clear, actionable insights to support strategic decision-making Support business decision-making through timely exploratory and ad hoc analysis, clearly communicating findings to stakeholders Reporting & Visualization Design, build, and maintain dashboards and reports using modern visualization tools (e.g., Power BI) Enhance existing reporting solutions with a focus on automation, scalability, and reducing manual processes Ensure data outputs are accurate, consistent, and aligned with defined KPIs and business metrics Data Modeling & Management Develop and maintain scalable semantic data models to support enterprise analytics and reporting needs Partner with data engineering teams to define requirements, test new data pipelines, and ensure data quality and availability Support the ingestion and transformation of large datasets for analytical use Stakeholder Engagement & Delivery Gather and prioritize business requirements across cross-functional stakeholders, translating business needs into analytical solutions Act as a key point of contact for reporting needs, managing priorities and aligning stakeholder expectations Collaborate within an agile delivery model to support sprint planning, testing, and release cycles Required Qualifications: 1-3 years of experience in data analytics, business intelligence, or related field Experience working with large datasets, data preparation, and analysis to derive business insights Experience with data visualization tools (e.g., Power BI, Tableau) Strong Excel skills and proficiency in Microsoft Office tools Demonstrated ability to communicate effectively with both technical and non-technical stakeholders Strong problem-solving skills and attention to detail

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