Personal Investing Business Intelligence Analyst

Manulife • Boston, MA

2d • $80,625 - $134,375 • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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
• 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
• 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
• 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

Benefits

• health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
• adoption/surrogacy and wellness benefits
• employee/family assistance plans
• various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions)
• financial education and counseling resources
• up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year
• full range of statutory leaves of absence

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed