Profitability Analytics Lead - Cards & Decision Science

TD Bank, N.A.; United States; On-site; USD 96,000 - 144,000; Full time

Job summary

TD Bank, N.A. in Mount Laurel, New Jersey, is seeking a Business Insights Specialist to analyze DataMarts and deliver actionable insights that support product profitability and growth.

You will collaborate with business leaders to translate analytics into strategic actions and present findings with compelling visuals. The role requires 5+ years of relevant experience, strong Excel/Power BI skills, and the ability to communicate complex results to executives.

Qualifications

• Strong expertise in profitability analytics for consumer banking products.
• Proven ability to communicate complex analytics findings through data visualization and storytelling.
• Experienced at financial analysis and financial model-building with Excel, VB, Power BI; some coding with SAS, SQL, PySpark, Python.
• Hands on experience with Microsoft Copilot.

Responsibilities

• Lead analyses on curated DataMarts to generate insights for business issues and growth.
• Present insights and recommended actions to stakeholders with clear visuals and storytelling.
• Translate business requirements into analytics and reporting needs for the domain.
• Collaborate with business leaders to drive profitable growth and value.

Skills

Profitability analysis

Data visualization

Business storytelling

Excel

VB

Power BI

SQL

Python

PySpark

SAS

Microsoft Copilot

Stakeholder management

Education

Undergraduate degree or advanced technical degree

Graduate degree preferred

Tools

Power BI

SQL

Python

SAS

VB

Excel

PySpark

Microsoft Copilot

Job description

TD Bank, N.A. in Mount Laurel, New Jersey, is seeking a Business Insights Specialist to analyze DataMarts and deliver actionable insights that support product profitability and growth.

You will collaborate with business leaders to translate analytics into strategic actions and present findings with compelling visuals. The role requires 5+ years of relevant experience, strong Excel/Power BI skills, and the ability to communicate complex results to executives.