Data Scientist II - Visualization

Description

As part of the central marketing analytics function, you will play a dual role — both as a data storyteller and an analytical problem solver. You will transform complex marketing data into clear, actionable, and visually compelling insights using Power BI and other advanced visualization tools, while also leading end-to-end analytics and measurement across paid and owned channels.

Your work will directly shape how marketing leaders understand performance, allocate budgets, and deliver personalized experiences — making this role a key driver in TD’s enterprise measurement and decision intelligence strategy.

Key Accountabilities include:

• Design, build, and maintain interactive Power BI dashboards that visualize marketing performance, customer journeys, attribution results, and ROI across paid and owned channels.
• Lead E2E analytics projects — from requirements gathering and data engineering to insight generation and executive storytelling.
• Collaborate with marketers, data engineers, and executives to translate analytical findings into clear, visual narratives that influence decision-making.
• Integrate data from multiple systems (digital marketing platforms, web analytics, CRM, paid media, social, and owned channels) to provide a unified, cross-channel performance view.
• Apply data science and statistical methods (A/B testing, causal inference, MMM, MTA) to uncover drivers of performance and validate marketing impact.
• Develop self-serve BI solutions and standardized templates to scale insights across teams and improve data literacy across Marketing.
• Champion visualization best practices — simplifying complexity, emphasizing clarity, and ensuring visuals tell a complete and persuasive story.
• Continuously improve dashboard performance, automation, and adoption by working closely with Azure cloud, Databricks, and Power BI gateways.
• Use Python, PySpark, and SQL for backend data transformations, model scoring, and data enrichment that feed into Power BI layers.
• Act as an insight consultant, supporting data-driven personalization, campaign optimization, and leadership reporting initiatives.

Your success will come from your ability to combine analytical depth with creative visualization, communicating insights that are as intuitive as they are impactful.

Job Requirements:

Core Skill Sets:

• Power BI expert with strong command of DAX, data modeling, relationships, measures, and visualization design principles.
• Ability to transform analytical outputs into executive-ready visual stories that drive clarity and alignment.
• Strong understanding of marketing data ecosystems, including paid media, CRM, and website analytics.
• Proficiency with PySpark, SQL, Databricks, Azure, and cloud-based data pipelines to support scalable dashboard data sources.
• Familiarity with data visualization automation, report optimization, and gateway/refresh management in enterprise settings.
• Strong data storytelling and presentation skills — ability to communicate technical insights to non-technical audiences.
• Solid grounding in marketing measurement frameworks, including MMM, MTA, A/B testing, and causal inference.
• Attention to design and user experience — passionate about building dashboards that are both beautiful and functional.
• Strong project management and stakeholder engagement skills, ensuring timely and accurate delivery.
• Curious, customer-driven, and relentlessly focused on creating clarity from complexity.

Qualifications:

• 5+ years of experience in marketing analytics, data visualization, or performance measurement — ideally within financial services, telecom, or high-volume digital industries.
• Demonstrated expertise in Power BI (including DAX, data modeling, and Power Query) and experience building executive-level dashboards.
• Strong technical foundation in PySpark, SQL, Databricks, and Azure Data Cloud.
• Hands-on experience with marketing data sources (Adobe Analytics, DCM, CRM, social and ad platform data).
• Solid understanding of data structures, warehousing principles, and ETL processes.
• Experience applying statistical and causal methods for marketing measurement and optimization.
• Bachelor’s or Master’s degree in Data Science, Statistics, Engineering, Computer Science, or related quantitative discipline.
• Proven track record of analytical excellence, visualization innovation, and cross-functional collaboration.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

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.

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):

Sans Objet