Profitability Analytics & Insights Lead

TD Bank; Mount Laurel Township (NJ); On-site; USD 96,000 - 144,000; Full time

Job summary

TD Bank is seeking a finance analytics professional in Mount Laurel, NJ, within the Finance - Decision Science team. The role focuses on profitability analytics for consumer products, leveraging data to evaluate marketing investments and build actionable insights that drive growth.

The candidate will collaborate with business and marketing teams, communicate complex findings through visuals, and contribute to end-to-end analytic projects while supporting enterprise needs.

Qualifications

• Undergraduate degree or advanced technical degree in a quantitative field.Graduate degree preferred.
• 5+ years of relevant experience in analytics or a related field.
• Strong profitability analysis for consumer banking products and solid data storytelling skills.
• Proficiency with Excel, Power BI and some coding in SAS/SQL/PySpark/Python is a plus.

Responsibilities

• Leads interpretation of complex business issues, generating multifaceted insights for growth opportunities.
• Presents insights and recommended actions to stakeholders with clear visualizations.
• Bridges business requirements to analytics and reporting needs for a domain.
• Provides day-to-day analytics delivery and collaborates with cross-functional partners.

Skills

Profitability analysis

Data visualization

Business storytelling

Education

Undergraduate degree or advanced technical degree (math, physics, engineering, finance or computer science)

Graduate's degree preferred

5+ years of relevant experience

Tools

Excel

VB

Power BI

SAS

SQL

PySpark

Python

Microsoft Copilot

Job description

TD Bank is seeking a finance analytics professional in Mount Laurel, NJ, within the Finance - Decision Science team. The role focuses on profitability analytics for consumer products, leveraging data to evaluate marketing investments and build actionable insights that drive growth.

The candidate will collaborate with business and marketing teams, communicate complex findings through visuals, and contribute to end-to-end analytic projects while supporting enterprise needs.