Business Insights Specialist (US) -- Cards Finance Manager - Decision Science

About the role

The Business Insights Specialist is responsible for conducting analyses on curated and/or aggregated DataMart's in conjunction with deep business subject matter expertise, to generate relevant analytical insights for business issues and identify opportunities to drive business growth and value.

This role works in partnership with business leaders to present or generate appropriate insights including the delivery of supporting collateral and/or presentations.

Responsibilities

• Leads on the interpretation of complex business issues, generates multifaceted insights and identifies opportunities to help drive business growth or address business/enterprise needs
• Presents and communicates generated insights and recommended business actions to stakeholders/business leaders in an easily digestible manner, leveraging tools/techniques/methods to produce a variety of visualizations/presentations that fit the audience
• Acts as the primary interface with business to bridge and translate business requirements to analytics and reporting needs for a given domain/business
• Applies collaborative and strong stakeholder management approach to constructively influence and persuade stakeholders and partners where appropriate
• Serves as an authority on a given business domain and provides business expertise to place context around analytics discovery and inform recommendations
• Escalates data/process related problems and communicates to relevant teams in a timely manner and makes recommendations for resolution
• Provides day-to-day support and delivery of analytics

Requirements

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
• Graduate's degree preferred with either progressive project work experience, or; 5+ years of relevant experience
• Strong expertise in profitability analysis for consumer banking products, including deposit and lending portfolios
• Proven ability to communicate complex analytical findings through effective data visualization and compelling business storytelling
• Experienced at financial analysis and financial model-building with strong technical skills (Excel, VB, Power BI)
• Some coding a plus: SAS, SQL, PySpark, Python
• Hands-on experience with Microsoft co-pilot

Qualifications

• Education & Experience
• Preferred Qualifications

Education & Experience:

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
• Graduate's degree preferred with either progressive project work experience, or; 5+ years of relevant experience

Preferred Qualifications:

• Strong expertise in profitability analysis for consumer banking products, including deposit and lending portfolios
• Proven ability to communicate complex analytical findings through effective data visualization and compelling business storytelling
• Experienced at financial analysis and financial model-building with strong technical skills (Excel, VB, Power BI)
• Some coding a plus: SAS, SQL, PySpark, Python
• Hands-on experience with Microsoft co-pilot

Skills

• Profitability analysis for consumer banking products, including deposit and lending portfolios
• Data visualization and compelling business storytelling
• Financial analysis and financial model-building
• Excel, VB, Power BI
• SAS, SQL, PySpark, Python
• Microsoft co-pilot

Benefits

Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role.

The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Pay

$96,130 - $144,190 USD

Schedule

40 hours per week