Top Fintech Business Intelligence (BI) Jobs in New York City, NY

Lead IEX's Market Data, Access & Member Services team, focusing on driving revenue growth, strategic market data initiatives, and enhancing client services.

As a Mid-level Applied AI Data Scientist, you will apply statistical methods and machine learning to derive business insights from data and create Tableau visualizations.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.

The Analytics Lead will leverage data analytics to optimize credit strategies, monitor portfolio performance, and collaborate on credit policy with stakeholders across technical and non-technical teams.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

The Forward Deployed Accountant leads the deployment of AI Agents for corporate accounting, trains teams, and ensures proper configuration and documentation of automated workflows.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead reporting, forecasting, and fundraising analytics across Private Wealth. Build automated Excel reconciliations and forecasting models, design PowerBI dashboards, ensure data integrity, synthesize complex datasets into executive presentations, and coordinate cross-functional stakeholders to support decision-making.

The Marketing Analytics Senior Lead will manage the analytics strategy for Lifecycle & CRM marketing, influence investment decisions, lead experimentation, and provide insights to enhance marketing efficiency across a global platform.

Analyze complex datasets to support investment analyses, validate growth initiatives, and develop data-driven narratives for clients. Responsibilities include data visualization, financial modeling, and collaboration with investment bankers.