Note: The job is a remote job and is open to candidates in USA. eMoney Advisor is a wealth management technology company that provides web-based services and resources for financial professionals. The Lead Business Intelligence Analyst serves as a strategic advisor, translating business challenges into enterprise analytics strategies, delivering actionable insights, and enabling data-informed decision-making. The role leads analytics architecture, measurement frameworks, governance, AI-enabled analytics, and scalable business intelligence solutions while influencing executives and mentoring analytics practitioners.
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
- Develop enterprise measurement frameworks, key performance indicators (KPIs), forecasting models, and performance reporting strategies that align analytics with organizational objectives
- Create reusable analytics frameworks, design patterns, and accelerators that standardize solution development, improve maintainability, and reduce duplication across business domains
- Ensure analytical solutions align with enterprise architecture, data governance, security, privacy, and data management standards while supporting evolving business priorities
- 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
- Lead enterprise analytics initiatives from strategy and solution design through implementation, adoption, and value realization, ensuring delivery of scalable, business-focused outcomes
- Partner with business leaders to define outcome-based success measures, quantify realized value, and ensure analytics investments deliver measurable business, operational, customer, and financial outcomes
- Drive enterprise-wide adoption of data-informed decision making by promoting analytics best practices, increasing data literacy, and fostering a culture of continuous improvement
- Provide thought leadership by driving alignment on analytics priorities, influencing strategic roadmaps, and recommending best practices that strengthen organizational decision-making capabilities
- Mentor analytics practitioners through technical leadership, knowledge sharing, architectural guidance, and promotion of best practices in analytics and data storytelling
Skills
- 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
- 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
- Financial services, wealth management, fintech, or other highly regulated industry experience preferred
Benefits
- Annual bonus program
- Retirement contributions
- Health insurance
- Sick leave
- Parental leave
- Paid time off
Company Overview