Lead Business Intelligence Analyst

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $120k - $156k / year

⏰ Full Time

🟠 Senior

📊 Business Intelligence Developer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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eMoney Advisor

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

💸 Finance

☁️ SaaS

🤝 B2B

Finance • SaaS • B2B

eMoney Advisor is a financial planning software company. eMoney provides cloud-based planning tools and a client portal for financial advisors, including features such as Monte Carlo analysis, account aggregation, decision center, plan summaries, and API/aggregation integrations. Their products (Plus, Pro, Premier, Enterprise) support goals-based and cash-flow planning, client engagement, and enterprise deployments for banks, broker-dealers, and RIAs. eMoney focuses on improving advisor efficiency, client satisfaction, and scalability of planning services.

📋 Description

• Serve as a trusted advisor to executive leadership by translating strategic business objectives into enterprise analytics strategies and solutions • Influence enterprise decision making through advanced analytics, executive-level storytelling, and actionable insights • Identify opportunities to accelerate growth, productivity, customer experience, and digital transformation through data, analytics, and AI • Lead the design and evolution of scalable, secure, and reusable enterprise analytics solutions • Influence architectural standards for semantic models, data products, metrics, dashboards, metadata, lineage, self-service analytics, and analytical asset lifecycle management • Develop enterprise measurement frameworks, KPIs, forecasting models, and performance reporting strategies • Create reusable analytics frameworks, design patterns, and accelerators • Ensure solutions align with architecture, data governance, security, privacy, and data management standards • Evaluate and recommend generative AI, predictive analytics, automated insights, natural language querying, and intelligent decision-support capabilities • Promote responsible AI practices aligned with governance, compliance, security, and risk management standards • Identify emerging trends, risks, technologies, and opportunities influencing analytics strategy • Lead enterprise analytics initiatives from strategy and solution design through implementation, adoption, and value realization • Partner with business leaders to define success measures, quantify value, and ensure measurable outcomes • Drive adoption of data-informed decision making, analytics best practices, and data literacy • Align analytics priorities, strategic roadmaps, and organizational best practices • Mentor analytics practitioners through technical leadership, knowledge sharing, and architectural guidance

🎯 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 • Experience leading enterprise-scale analytics initiatives and influencing senior business and technology leaders • Success partnering with executive leadership to shape business strategy, prioritize investments, and deliver measurable 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 • 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 • Expert SQL proficiency • Expert-level experience with Power BI or other modern business intelligence and visualization platforms such as Tableau or Looker • Expertise in enterprise analytics architecture, dimensional modeling, semantic models, data products, metric layer design, data modeling, and enterprise reporting frameworks • Experience developing scalable, governed analytics solutions • Knowledge of data governance, data quality, metadata management, and analytical best practices • Executive communication, facilitation, and data storytelling skills • Experience evaluating and implementing AI-enabled analytics capabilities, including generative AI, natural language querying, automated insights, and predictive analytics • Experience implementing AI and generative AI use cases, including governance, risk management, responsible AI practices, and business adoption strategies • Consultative and stakeholder management skills • Ability to lead through influence, align diverse stakeholder groups, and drive consensus • Ability to synthesize ambiguous business challenges into structured analytical approaches and strategic recommendations • Experience developing business cases, value realization frameworks, and measuring analytics impact • Strong analytical ability and business acumen • Ability to manage multiple priorities in a fast-paced environment

🏖️ Benefits

• Annual bonus program • Retirement contributions • Health insurance • Sick leave • Parental leave • Paid time off • Diversity and inclusion culture • Equal employment opportunity