Senior Business Intelligence Analyst

TD•Montreal, QC

2d•CA$76,800 - CA$115,200•Onsite

About The Position

This role focuses on producing specialized reporting packages, dashboards, and scorecards for businesses, with a strong emphasis on understanding objectives and delivering actionable insights for product design, customer engagement, account management, and strategic business decision-making. The analyst will utilize various methodologies to rapidly generate impactful interactive visualizations, analytical outputs, and data solutions within a fast-paced, high-volume ad-hoc reporting environment. Responsibilities include supporting the implementation of key initiatives, contributing to end-to-end delivery processes (intake, prioritization, planning, coordination), and conducting deep-dive analyses to inform management leadership teams. The role involves creating complex BI reporting packages and dashboards using enterprise data infrastructure, DataMarts, and external data sources, translating findings into clear and meaningful insights. Data integrity is paramount, requiring validation, reconciliation, and analysis to ensure quality and accuracy. The analyst will also investigate and help resolve complex data issues, operate effectively in ambiguous environments using strong analytical thinking, and proactively identify opportunities for automation, innovation, and AI-driven solutions to enhance efficiency and scalability. Managing multiple competing priorities and delivering high-quality outputs within tight timelines while maintaining strong data integrity and stakeholder communication is essential.

Requirements

Minimum 7+ years of relevant experience in business intelligence, analytics, or reporting roles.
Strong experience with SQL and Python.
Experience with BI tools such as Power BI, Tableau, Posit.
Experience working with Azure, Databricks, or similar cloud platforms.
Proven analytical and problem-solving skills, including deep-dive data investigation.
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.
Experience contributing to automation, innovation, and AI-driven initiatives.
Strong communication, stakeholder management, and data storytelling skills.

Responsibilities

Produce specialized reporting packages, dashboards, and scorecards for businesses, focusing on understanding objectives and delivering insights for product design, customer engagement, account management, and business decision making.
Use various methodologies to rapidly generate impactful interactive visualizations, analytical outputs, and data solutions in a fast-paced, high-volume ad-hoc reporting environment.
Support the implementation of initiatives in support of overall business/function strategy, including complex and high-impact data and reporting initiatives.
Support end-to-end delivery by contributing to intake, prioritization, planning, and coordination of work across stakeholders and team members.
Conduct analysis to provide enhanced BI to inform management leadership team, including deep-dive analysis, trend identification, and interpretation of complex datasets.
Create complex BI reporting packages and dashboards utilizing enterprise data infrastructure, DataMarts, and external data sources, translating findings into clear and meaningful insights.
Validate the quality and integrity of data through detailed validation, reconciliation, and analysis.
Develop meaningful insights highlighting trends, anomalies, and business implications.
Work with business partners to understand objectives, clarify and help shape requirements, and translate them into analytical and data solutions.
Investigate and help resolve complex data issues through deep-dive analysis including debugging, impact assessment, and root cause analysis.
Operate effectively in ambiguous environments using strong analytical thinking to define problems and develop structured solutions.
Proactively identify and contribute to opportunities to automate, innovate, and leverage AI-driven solutions to improve efficiency and scalability.
Manage multiple competing priorities and deliver high-quality outputs within tight timelines while maintaining strong data integrity and stakeholder communication.
Adhere to enterprise frameworks, governance, and risk practices.
Ensure compliance with applicable policies, regulatory and internal requirements.
Conduct meaningful analysis to support business decisions.
Monitor productivity with focus on improving turnaround time in a high-volume ad-hoc environment.
Support remediation efforts related to data quality or reporting issues.
Build and maintain relationships across business and analytics teams.
Promote a culture of data governance and operational excellence.
Act as a senior contributor fostering collaboration and innovation within the team.
Provide thought leadership in data analytics and BI practices.
Stay current with emerging trends including automation, AI, and advanced analytics.
Support onboarding, mentoring, and knowledge sharing.
Communicate project status, risks, and updates effectively.
Support coordination of work across contributors to align on timelines and deliverables.
Build strong relationships with stakeholders and team members.