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Über diese Business Intelligence and Reporting Analyst Stelle bei TD Bank

TD Bank · Vor Ort · Toronto, Ontario

Work Location:

Toronto, Ontario, Canada

Hours:

35

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$66,800 - $94,300 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

CUSTOMER

·    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.

·    Lead or contribute to strategic initiatives involving complex analytical investigations, monitoring solutions, process improvements and scalable data products.

·    Own or coordinate assigned analytics work from intake through delivery, including planning, task breakdown, timelines, dependencies and progress updates.

·    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.

·    Conduct root-cause and impact analysis of operational or risk-related issues by connecting information across datasets, systems and business processes.

·    Analyze historical patterns and contributing factors to identify recurring themes and opportunities for earlier detection or prevention.

·    Contribute to the design, testing and refinement of business rules, indicators or monitoring solutions, including back-testing and exception analysis.

·    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.


SHAREHOLDER

·    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.

·    Apply structured quality-control practices, including peer review, reconciliation, exception analysis and documented validation evidence.

·    Maintain reusable and reproducible analytical processes with clear documentation of code, data sources, business rules, assumptions and limitations.


EMPLOYEE / TEAM

·    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.

·    Convert analytical findings and project learnings into reusable documentation, reference materials or knowledge-sharing sessions.


BREADTH & DEPTH

·    Work independently on assigned deliverables, seeking guidance for highly complex or ambiguous issues.

·    Strong knowledge of BI tools, data modeling concepts and analytical techniques.

·    Good understanding of business processes, data flows and system interactions relevant to assigned work.

·    Ability to conduct data analysis and support investigations, including validation, reconciliation and impact assessment.

·    Apply structured investigative thinking and sound judgment when interpreting incomplete or conflicting information.

·    Manage multiple concurrent priorities in a dynamic environment.

·    Present insights to stakeholders and leadership as required.


EXPERIENCE AND EDUCATION

·    Minimum 3+ years of relevant experience in business intelligence, analytics or reporting roles.

·    Strong hands-on experience with SQL and Python.

·    Experience with BI tools such as Power BI, Tableau or Posit.

·    Exposure to Azure, Databricks or similar cloud/data platforms is an asset.

·    Demonstrated analytical and problem-solving skills, including data validation and investigation support.

·    Experience with investigative analytics, root-cause analysis, impact assessment, business rules or exception-based monitoring is an asset.

·    Ability to translate ambiguous business problems into structured analytical approaches and clearly documented conclusions.

·    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, process improvement or AI-enabled initiatives is an asset.

·    Strong communication, stakeholder management and data storytelling skills.

Who We Are:

As part of TD Bank Group, one of Canada's largest financial institutions, at TD Insurance, we care for Canadian families, making it easy to get the best advice, protection, and support in their moments of need, always.

TD Insurance offers a wide range of products, including General Insurance and Life and Health. Everyday, we strive to make every interaction, product and experience remarkably human and refreshingly simple for more than four million customers who count on us.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. 

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Maîtrise d’une langue autre que le français pour offrir du soutien ou traiter avec des employés ou des collègues qui ont besoin de services et de soutien dans une langue autre que le français.
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Wie sich dieses Gehalt für Data Analyst vergleicht

Diese Stelle zahlt $57,643/yr — unter der üblichen Spanne für Data Analyst Stellen.

$63,642 dem Median $70,228 $92,822

Übliche Spanne $67,200–$91,461/yr, aus 20 vergleichbaren Data Analyst Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Analyst ansehen →

Über TD Bank

US Labor & Employment Posters | California Privacy | Accessibility | FAQ Our Values At TD we’re guided by our purpose to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture. Our Commitment to Diversity, Equity, and Inclusion At TD, we’re committed to fostering an environm

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