Lead Business Intelligence Analyst

Job Summary

The Advisory Business Intelligence & Analytics professional serves as a strategic individual contributor within the eMoney Data & Analytics organization, acting as a trusted advisor to business leaders and cross-functional stakeholders. This role is responsible for translating complex business challenges into enterprise analytics strategies, delivering actionable insights, and enabling data-informed decision making across the organization.

Job Responsibilities

• Serve as a trusted advisor to executive leadership by translating strategic business objectives into enterprise analytics strategies and solutions that drive measurable business outcomes.
• Influence enterprise decision making through advanced analytics, executive-level storytelling, and actionable insights that improve business performance, customer outcomes, and operational efficiency.
• Identify opportunities to accelerate business growth, productivity, customer experience, and digital transformation through innovative use of data, analytics, and AI.
• Lead the design and evolution of enterprise analytics solutions, partnering with business, technology, and data teams to promote scalable, secure, and reusable business intelligence capabilities.
• Influence and promote architectural standards for semantic models, data products, metric definitions, dashboard architecture, metadata, lineage, self-service analytics, and analytical asset lifecycle management to support consistency, scalability, and long-term maintainability.
• Create reusable analytics frameworks, design patterns, and accelerators that standardize solution development, improve maintainability, and reduce duplication across business domains.
• Evaluate and recommend AI-enabled analytics capabilities, including generative AI, predictive analytics, automated insights, natural language querying, and intelligent decision support solutions that enhance business outcomes.
• Promote responsible AI practices by ensuring analytics solutions align with governance, compliance, security, and risk management standards.
• Provide strategic thought leadership by identifying emerging business trends, risks, technologies, and opportunities that influence enterprise analytics strategy and long-term planning.
• Drive enterprise-wide adoption of data-informed decision making by promoting analytics best practices, increasing data literacy, and fostering a culture of continuous improvement.
• Mentor analytics practitioners through technical leadership, knowledge sharing, architectural guidance, and promotion of best practices in analytics and data storytelling.

Requirements

• Bachelor’s degree in mathematics, Statistics, Computer Science, Data Analytics, Business, Economics, or another quantitative discipline; Master's degree preferred or an equivalent combination of education and experience.
• 10+ years of progressive experience in business intelligence, analytics, data strategy, management consulting, or related advisory roles, including experience leading enterprise-scale analytics initiatives and influencing senior business and technology leaders.
• Demonstrated success partnering with executive leadership to shape business strategy, prioritize investments, and deliver measurable business outcomes through data, analytics, and AI.
• Experience leading enterprise-wide transformation initiatives involving analytics modernization, KPI standardization, self-service analytics, data governance, data products, or AI-enabled decision support capabilities.
• Experience operating within complex, cross-functional organizations and influencing outcomes without direct managerial authority.
• Financial services, wealth management, fintech, or other highly regulated industry experience preferred.

Skills

• Expert SQL proficiency with extensive experience designing performant queries, optimizing complex analytical workloads, and modeling enterprise-scale datasets.
• Expert-level experience with Power BI or other modern business intelligence and visualization platforms (e.g., Tableau, Looker), including semantic modeling, enterprise reporting, dashboard architecture, and self-service analytics.
• Deep expertise in enterprise analytics architecture, dimensional modeling, semantic models, data products, metric layer design, data modeling, and enterprise reporting frameworks.
• Demonstrated experience developing scalable, governed analytics solutions.
• Deep knowledge of data governance, data quality, metadata management, and analytical best practices.
• Exceptional executive communication, facilitation, and data storytelling skills, with the ability to translate complex analytical concepts into actionable business recommendations.
• Experience evaluating and implementing AI-enabled analytics capabilities, including generative AI, natural language querying, automated insights, and predictive analytics.
• Demonstrated experience identifying, evaluating, prioritizing, and implementing AI and generative AI use cases within enterprise analytics environments, including governance, risk management, responsible AI practices, and business adoption strategies.
• Strong consultative and stakeholder management skills, with the ability to influence across all levels of the organization without direct authority.
• Proven ability to lead through influence, align diverse stakeholder groups, and drive consensus on enterprise analytics priorities, standards, and roadmaps.
• Demonstrated ability to synthesize ambiguous business challenges into structured analytical approaches and strategic recommendations.
• Experience developing business cases, defining value realization frameworks, and measuring the impact of analytics initiatives against strategic business objectives.
• Highly analytical with strong business acumen, balancing strategic thinking with practical execution.
• Self-motivated, adaptable, and collaborative, with the ability to thrive in a fast-paced environment while managing multiple priorities.
• Curious and innovative, with a passion for continuously improving analytics capabilities and driving measurable business value through data.

Pay

The salary range for this position is $120,000 - $156,000; commensurate salary to be determined based on skills, professional background and expertise.