Senior Business Intelligence Analyst
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Key skills for this role
About the Role
TD is seeking a Senior Business Intelligence Analyst to join its Analytics, Insights and Artificial Intelligence team supporting Canadian Personal Banking.
Key Skills for This Role
Responsibilities
- Own projects end to end from scoping and requirements gathering to data engineering, modeling, insights, and visualization
- Act as a strategic consultant, delivering value added insights and actionable recommendations for website personalization and campaign optimization
- Apply a data science mindset grounded in causal impact, experimentation, and hypothesis driven problem solving
- Work with large scale datasets and leverage advanced analytics tools such as Python, PySpark, Databricks, Power BI, and SQL
- Develop a deep understanding of business objectives and data ecosystems, translating complex business problems into data driven solutions
- Exhibit exceptional storytelling, translating analytical findings into compelling narratives that influence senior stakeholders
Requirements
- 5+ years of experience in an analytics role, including A/B testing, website analytics, attribution modeling, regression analysis, and/or machine learning
- Bachelor's or Master's in Business, Statistics, Computer Science, Engineering, Mathematics, or a related quantitative field
- Proficiency in large scale data processing with PySpark, SQL, and Databricks
- Experience with Power BI or Tableau preferred
Full Job Posting
Job Description
- Our team is part of TD's Analytics, Insights and Artificial Intelligence (AI2) supporting Canadian Personal Banking's Operations group as the central hub for agentic AI, internal digital insights, and data analytics.
- Our mission is to deliver and modernize data driven coaching, processes, and analytics used by the Operations group.
Key Accountabilities
- Own projects end to end (E2E) from scoping and requirements gathering to data engineering, modeling, insights, and visualization.
- Act as a strategic consultant, delivering value added insights, storytelling, and actionable recommendations for website personalization and campaign optimization.
- Apply a data science mindset, grounded in causal impact, experimentation, and hypothesis driven problem solving.
- Work with large scale datasets across various stages of the customer journey and leverage advanced analytics tools such as Python, PySpark, Databricks, Power BI, and SQL.
- Develop a deep understanding of business objectives and data ecosystems, translating complex business problems into clear, data driven solutions.
- Exhibit exceptional storytelling — translating analytical findings into compelling narratives that influence senior stakeholders.
Core Skill Sets
- Resilient and persistent — able to overcome analytical and organizational challenges with creativity and rigor.
- Deep intellectual curiosity and continuous learning mindset.
- Innovative and creative approach to problem solving.
- Expertise in customer data integration using PySpark, Python, Power BI, SQL Server, Azure Cloud.
- Strong understanding of data structures, data models, and relational databases.
- Write efficient, optimized code for processing large datasets in PySpark and SQL.
- Strong project management discipline, ensuring deliverables are on time, accurate, and impactful.
- Collaborative team player with the independence and accountability to execute autonomously.
- Pragmatic decision maker, blending analytical rigor with real world business judgment.
- Customer first thinker, always viewing insights and recommendations through the lens of customer value.
Job Requirements
- 5+ years of experience in an analytics role, including A/B testing, website analytics, attribution modeling, regression analysis, and/or machine learning — ideally in financial services, telecom, or other high volume direct marketing industries.
- Bachelor’s or Master's in Business, Statistics, Computer Science, Engineering, Mathematics, or a related quantitative field.
- Proven track record of execution, problem solving, and measurable business impact.
- Demonstrated proficiency in large scale data processing and advanced programming with PySpark, SQL, and Databricks.
- Experience with Power BI or Tableau preferred.
- Strong technical foundation and ability to scale analytical solutions.
Total Rewards Package
- Base salary, variable compensation, health and well being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.
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