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TD

Business Insights Specialist – Retail and Non-Retail Portfolios

TD

. Lead a deep dive into historical loan data across Retail and Non-Retail portfolios .

Posted 10/26/2026full-timeRemote • United StatesMid-LevelSenior💰 $120,160 - $155,950 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL and data analysis, with a strong ability to translate complex historical loan data into actionable insights. Proven experience in managing relationships across business lines and providing analytics support aligned with business strategy.

Highest-signal resume keywords
SQL Data AnalysisHistorical Loan Data ExpertiseData Quality Issue IdentificationAdvanced Data PreparationBusiness Requirement Translation

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisData ReconciliationData Quality AssessmentQuantitative MethodologiesQualitative MethodologiesData VisualizationBenchmarkingAnalytics Requirements GatheringCredit ProcessesRisk Management
Soft Skills
Stakeholder CommunicationMentoringCollaborationProblem-SolvingThought Leadership
Industry Keywords
Retail Loan DataNon-Retail Loan DataData GovernanceFinancial ControlsEmerging Issues Monitoring

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Lead a deep dive into historical loan data across Retail and Non-Retail portfolios
  • Analyze and reconcile multi-year data
  • Identify data quality issues and historical inconsistencies
  • Investigate changes in data and business definitions over time
  • Prepare well-documented datasets for advanced analysis and benchmarking
  • Lead interpretation of complex business issues and generate multifaceted insights
  • Identify opportunities to drive business growth or address business and enterprise needs
  • Present insights and recommended business actions to stakeholders and business leaders
  • Serve as the primary interface between business teams and analytics/reporting functions
  • Provide domain expertise and context for analytics discovery and recommendations
  • Escalate data and process problems and recommend resolutions
  • Provide day-to-day analytics support and delivery
  • Build business requirements and facilitate project execution
  • Collaborate with partners to deliver fact-based analytical advice aligned with strategy
  • Identify potential use cases and value drivers for business growth
  • Gather analytics demand from business teams and work with the analytics hub to fulfill it
  • Explain anomalies and outliers identified during analysis
  • Transition business requirements into analytics requirements
  • Train business users to integrate analytics into decisions
  • Execute data requests accurately and promptly
  • Investigate data and analytics issues
  • Lead or facilitate remediation plans for performance, risk, and governance issues
  • Manage relationships across business lines, corporate and control functions
  • Monitor emerging issues, trends, and regulatory requirements
  • Maintain risk management and control processes
  • Provide thought leadership and knowledge transfer
  • Mentor others and contribute to team development

Requirements

What you’ll need
  • 5+ years of relevant experience
  • Strong knowledge of SQL and data analysis/research
  • Retail and Non-Retail loan data or similar experience
  • Experience with historical loan data, source systems, data definitions, and credit processes
  • Ability to analyze and reconcile multi-year data
  • Ability to identify data quality issues and historical inconsistencies
  • Ability to understand changes in data and business definitions over time
  • Ability to prepare well-documented datasets for advanced analysis and benchmarking
  • Ability to translate complex historical data into clear, actionable insights
  • Undergraduate degree or advanced technical degree preferred, such as mathematics, physics, engineering, finance, or computer science
  • Graduate degree preferred with progressive project work experience, or higher-degree education and research tenure can be counted
  • Ability to work with quantitative and qualitative methodologies
  • Ability to create visualizations and presentations
  • Ability to translate business requirements into analytics and reporting requirements
  • Ability to comply with internal and external requirements, financial controls, segregation of duties, transaction approvals, and physical control of assets

Benefits

Comp & perks
  • Variable compensation/incentive awards, including potential cash and/or equity incentive awards
  • Health and well-being benefits
  • Savings and retirement programs
  • Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO
  • Banking benefits and discounts
  • Career development
  • Reward and recognition programs
  • Regular career, development, and performance conversations
  • Online learning platform
  • Mentoring programs
  • Training and onboarding sessions
  • Remote work arrangement
  • Occasional domestic travel