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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong statistical and analytical skills with experience in predictive analytics, optimization, and data visualization. Proficient in programming languages such as R, Python, and SQL, with the ability to communicate complex findings to diverse audiences.
Highest-signal resume keywords
Predictive AnalyticsData VisualizationR ProgrammingPython ProgrammingStatistical Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CleaningFeature EngineeringRegression AnalysisLogit ModelingDiscrete Choice ModelingSimulationPropensity ModelingData/Text MiningAlgorithm DevelopmentAutomation
Soft Skills
Leadership QualitiesInitiativePrioritizationCommunicationProblem-Solving
Tools & Technologies
SQLSASJavaC/C++SparkCloud
Industry Keywords
Analytics InsightsData-Driven SolutionsBusiness Case DevelopmentEmerging TrendsTeam Collaboration
Tech Stack
Tools & technologiesC++CloudJavaPythonSparkSQL
About the role
Key responsibilities & impact- Participate in TD's 18-month rotational Associate Program with two nine-month rotations
- Gain exposure to business areas within the Analytics Insights & AI team
- Perform data queries and prepare datasets for analysis and modeling, including data cleaning and feature engineering
- Analyze large datasets to identify trends and insights that inform business decisions
- Communicate findings to technical and non-technical audiences
- Collaborate with team members and business partners to develop, test, and deploy analytics solutions such as forecasting, optimization, and pricing models
- Identify business problems and opportunities appropriate for data-driven solutions
- Develop proposals and approaches for analytics initiatives
- Support business case development for analytics solutions
- Work on initiatives designed to improve decisions, processes, systems, and applications supporting TD's businesses
Requirements
What you’ll need- Must have graduated between May 2025 and May 2027
- Graduate degree in Business, Management, and/or Data Analytics or related field
- At least 2 years of professional experience, including work terms during studies
- Strong statistical and analytical skills
- Experience analyzing large data sets, drawing insights and inferences, and communicating outputs
- Experience in one or more of predictive analytics, optimization, regression, logit modeling, discrete choice, simulation, propensity modeling, data/text mining, programming, algorithm development, automation, data visualization, or natural language processing
- Strong technical knowledge and experience with at least one of R, Python, SQL, SAS, Java, or C/C++
- Technical knowledge or experience with Spark and Cloud
- Must have strong leadership qualities, initiative, prioritization, communication, analytical, and problem-solving skills
- Able to work as part of a team with targeted deliverables
- Ability to remain current with emerging trends and technologies
- Applications must include a transcript, cover letter of one letter-sized page or less, and a resume of maximum 2 pages
- Must reside in Canada, the country where the role is located
Benefits
Comp & perks- Coaching and mentorship from business leaders and the Early Talent Experience team
- Leadership talks
- Lunch and learns
- Self-development workshops
- TD-sponsored conferences
- Socials
- Team challenges
- Volunteer opportunities
- Career coaching
- Leadership development and career development opportunities
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Reward and recognition programs
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
- Accommodation support during recruitment/interviews
