Business Intelligence Analyst III

TD•Toronto, ON

2d•CA$66,800 - CA$94,300•Onsite

About The Position

This role focuses on producing reporting packages, dashboards, scorecards, and analytical outputs for business partners to support decision-making. The analyst will work in a fast-paced, high-volume ad-hoc reporting environment, using established methodologies to generate interactive visualizations and data solutions. The position involves supporting initiatives aligned with business strategy, contributing to end-to-end delivery, and conducting analysis to identify trends and interpret datasets. Key responsibilities include creating BI reporting packages and dashboards using enterprise data infrastructure, validating data quality, developing insights, and collaborating with business partners to clarify requirements. The role also requires operating effectively in ambiguous situations, identifying opportunities for automation and AI-enabled solutions, and managing multiple priorities while maintaining data integrity and stakeholder communication.

Requirements

Minimum 3+ years of relevant experience in business intelligence, analytics or reporting roles.
Strong experience with SQL, Python.
Experience with BI tools such as Power BI, Tableau or Posit.
Demonstrated analytical and problem-solving skills, including data validation and investigation support.
Experience working with business stakeholders to understand requirements and deliver data and reporting solutions.
Demonstrated ability to manage multiple priorities in a fast-paced environment.
Strong communication, stakeholder management and data storytelling skills.

Nice To Haves

Exposure to Azure, Databricks or similar cloud/data platforms is an asset.
Experience contributing to automation, process improvement or AI-enabled initiatives is an asset.

Responsibilities

Produce reporting packages, dashboards, scorecards and analytical outputs for business partners, with focus on understanding objectives and supporting business decision making.
Use established methodologies to generate interactive visualizations, analytical outputs and data solutions in a fast-paced, high-volume ad-hoc reporting environment.
Support initiatives aligned to business/function strategy, including data and reporting work with moderate to high complexity.
Contribute to end-to-end delivery by supporting intake, prioritization, planning and coordination of assigned work.
Conduct analysis to provide business intelligence that supports management and business partner decisions, including trend identification and interpretation of datasets.
Create BI reporting packages and dashboards using enterprise data infrastructure, DataMarts and other approved data sources, translating findings into clear and meaningful insights.
Validate the quality and integrity of data through validation, reconciliation and analysis, escalating issues as required.
Develop meaningful insights highlighting trends, anomalies and business implications.
Work with business partners to understand objectives, clarify requirements and translate them into analytical and data solution requirements.
Support investigation and resolution of data issues through analysis, impact assessment and collaboration with technical or data partners as needed.
Operate effectively in situations with some ambiguity by applying analytical thinking, clarifying assumptions and developing structured recommendations.
Identify and contribute to opportunities to automate, streamline and leverage AI-enabled solutions to improve efficiency and scalability.
Manage multiple priorities and deliver high-quality outputs within agreed timelines while maintaining data integrity and clear stakeholder communication.
Adhere to enterprise frameworks, governance and risk practices.
Ensure compliance with applicable policies, regulatory and internal requirements.
Conduct analysis that supports business decisions and operational effectiveness.
Monitor productivity and support improvements to turnaround time in a high-volume ad-hoc environment.
Support remediation activities related to data quality or reporting issues.
Build and maintain effective working relationships across business and analytics teams.
Promote data governance, documentation and operational discipline in day-to-day work.
Contribute as a strong team member by supporting collaboration, knowledge sharing and continuous improvement.
Apply sound BI and analytics practices and share practical recommendations with peers.
Stay current with relevant trends including automation, AI and advanced analytics.
Support onboarding, mentoring and knowledge sharing where appropriate.
Communicate project status, risks, assumptions and updates effectively.
Support alignment on timelines and deliverables for assigned work.
Build strong relationships with stakeholders and team members.
Work independently on assigned deliverables, seeking guidance for highly complex or ambiguous issues.
Present insights to stakeholders and leadership as required.