Strategic Finance/Business Intelligence Professional - HF in NYC

Our client is seeking a highly analytical and technically adept Strategic Finance Lead to drive insights and decision-making across the organization. This role sits at the intersection of finance, data science, and business operations.

RESPONSIBILITIES:

• Partner with senior leadership to provide financial and operational insights that support high-impact strategic decisions.


• Develop and maintain advanced business intelligence dashboards and reporting tools using Tableau, Power BI, and other visualization platforms.


• Build and deploy Python-based analytics models to support scenario planning, forecasting, and investment evaluation.


• Translate complex datasets into actionable insights through deep-dive analyses and storytelling.


• Lead the design and automation of financial models, metrics, and KPIs across multiple business units.


• Collaborate cross-functionally with data engineering, product, and operations teams to ensure alignment on data sources, definitions, and governance.


• Support M&A evaluation, competitive benchmarking, and market expansion analysis through robust financial modeling and data analytics.


• Continuously improve data infrastructure and BI processes to increase transparency and efficiency across finance and business teams.

Qualifications:

• 4-8 years of experience in strategic finance, analytics, investment banking, consulting, or a related quantitative field.


• Bachelor’s degree in Finance, Economics, Computer Science, Engineering, or a related quantitative discipline; advanced degree is a plus.


• Proven experience building and scaling BI tools such as Tableau, Power BI, or Looker.


• Advanced proficiency in Python for data manipulation, modeling, and automation (e.g., pandas, numpy, scikit-learn, etc.).


• Strong SQL skills and experience working with large, complex datasets.


• Exceptional communication skills with the ability to distill and present complex financial data to non-technical stakeholders.


• Experience working in fast-paced, data-rich environments; financial services, tech, or hedge fund experience is a plus.