Business Analyst - Credit Cards Product Analytics & InsightLocation: Toronto, ON
Onsite FlexibilityHybrid - Currently one mandatory in-office day per week (Thursday), plus one Friday per month. There is potential for the requirement to increase to two in-office days per week, including a designated squad day.
Contract Details- Position Type: Contract
- Contract Duration: 12 months (with potential for extension; FTE conversion possible, subject to business needs and performance)
- Shift / Schedule: 37.5 hours per week, Monday to Friday, 9:00 AM to 5:00 PM, with a one-hour lunch break
Job SummaryThe team supports both the Business Credit Card portfolio and broader portfolio analytics initiatives, focusing on product analytics across the full credit card lifecycle, including credit strategy, portfolio management, performance analysis, and optimization of card products and customer journeys. The contractor will support product and portfolio analytics initiatives across the credit card business, working closely with squads focused on credit portfolio management, product performance, customer insights, and strategic analytics to help drive business decisions and portfolio outcomes.
The Senior Manager, Credit Cards Analytics & Insights will be a leading contributor on the AI, Data and Analytics (AIDA) team supporting the Credit Cards business within Personal and Business Banking. The AI, Data and Analytics team focuses on creating next-generation analytics assets to enable data-driven decision-making for partners in Product, Marketing, Client Segments and Strategy. In this role, you will lead analytics engagements to evaluate client behaviours and optimize business decisions related to product, campaigns, pricing, and other business areas. You will drive innovation through advanced AI and machine learning solutions, translating cutting-edge technology into tangible business value and measurable outcomes. You will present insights and make data-driven recommendations to senior leaders to help identify opportunities to grow the business and better serve clients.
Key Responsibilities- Innovation & Value Realization – Champion a culture of innovation by identifying and implementing transformative AI and machine learning solutions that deliver measurable business value. Proactively seek opportunities to leverage emerging technologies to create competitive advantages, optimize client experiences, and drive revenue growth. Translate complex analytical initiatives into quantifiable business outcomes, demonstrating clear ROI and value realization across all engagements.
- Consultant – Be a leader and subject matter expert in Credit Cards. Integrate deep domain knowledge with analytical capabilities to deliver value to stakeholders, enable data-driven decision-making, and proactively identify opportunities to drive business growth through projects and business cases, acquisition and retention campaigns, pricing, channels, segments, products, and process enhancements.
- Analytics – Independently identify and leverage the right statistical techniques, including descriptive, predictive, and prescriptive analytics, to extract actionable insights from client behaviours and business trends, both internal and external. Apply advanced machine learning algorithms and AI-driven methodologies to uncover hidden patterns and predict future trends with precision. Appropriately integrate big data, business intelligence, visualization, self-service, and analytical tools into engagements. Proactively explore new applications of advanced analytics, AI, and machine learning to innovate and build strategic analytics assets that create sustainable competitive advantages.
- Technology – Leverage big data and analytical tools to analyze large structured and unstructured datasets, build data pipelines, and create visualizations from multiple data sources. Implement and deploy machine learning models and AI solutions using modern MLOps practices, ensuring scalability, reliability, and continuous improvement of analytical assets.
- Ownership – Orchestrate end-to-end delivery of solutions that meet stakeholder requirements and contribute to business success. Think and act like an owner in analytics initiatives, ensuring business needs are properly identified and translated into analytics requirements while maintaining a relentless focus on value creation and measurable business impact.
- Communication – Find the story in the data and communicate at varying levels of detail for the right audience. Articulate the business value and innovation potential of AI and machine learning initiatives to both technical and non-technical stakeholders, building enthusiasm and support for transformative change.
Must-Have Requirements- Business Analyst experience - 8 years
- Product Knowledge - 3 years
- Experience in a consultative role focusing on data analysis - 3 years
- Previous experience in the Credit Card business (Banking or credit card industry)
- Experience manipulating and synthesizing large volumes of complex information from multiple sources.
- Strong knowledge of data modeling and statistical analysis techniques.
- Experience working with multiple stakeholders.
- Experience working on an Agile team.
- SQL experience / SAS experience (build and run macros)
Nice-to-Have Requirements- Digital analytics experience (Adobe)
- Direct CIBC experience
Required Skills- Demonstrated expertise in artificial intelligence and machine learning, with hands-on experience developing, deploying, and maintaining ML models in production environments
- Strong knowledge of machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, and Keras, and have applied various ML techniques, including supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning
- Exceptional critical thinking, problem-solving, and decision-making skills, with a demonstrated ability to independently identify and analyze business problems and recommend innovative solutions
- Proficiency in programming languages and experience using modern big data, analytical, and dashboard tools, such as Python, R, SAS, SQL, Hadoop, Spark, Alteryx, Tableau, Databricks, Power BI, MLflow, Azure ML, and AWS SageMaker
- Experience building end-to-end analytics solutions involving large datasets, including requirements gathering, data extraction, cleaning and transformation, statistical analysis, model development and deployment, presentation, and implementation
- Working knowledge of statistical techniques, such as regression, time-series analysis, clustering, and decision trees, and advanced machine learning algorithms, such as ensemble methods, neural networks, gradient boosting, and dimensionality reduction
- Proven track record of translating AI and ML capabilities into measurable business value, with experience in value realization frameworks and ROI measurement
- Very strong communication and presentation skills, with a demonstrated ability to clearly and concisely present information to groups and individuals at all levels of the organization
- Good communication and storytelling skills
- Excellent relationship building, verbal and written communications skills
- Strong time management skills
- Ability to present information in an organized and concise manner
Education Requirements- Degree in a quantitative field such as mathematics, statistics, computer science, economics, engineering, physics, or business, or equivalent experience
- Advanced degree is an asset, such as an MMA, MBAN, MSc, MA, or MBA
Required Experience- 8 years of experience in a Business Analyst or equivalent role
- Experience working with and presenting to stakeholders at all organizational levels
- Demonstrated ability to explore emerging trends and best practices in AI, machine learning, and innovative analytics methodologies
Important Notes- Employment verification and, where applicable, professional credential checks must be completed within 30 days of the start date; the contractor may begin the assignment while these checks are in progress.
- Interview process: Two rounds. The first interview will be conducted in person with the hiring managers. The second round will be with squad members and the reporting manager and may offer more flexibility to be conducted remotely.
- No regulatory credentials are required to be registered upon start.
About the ClientThis client is a leading Canadian financial services and banking institution, with a broad retail and commercial banking footprint serving millions of clients across Canada and beyond. The organization ranks among the top five banks in Canada by assets and employs tens of thousands of professionals nationwide, including business analysts, data scientists, software engineers, product managers, and analytics specialists who collaborate across agile, cross-functional teams to drive data-informed decision-making and innovation.
About GTTGTT is an NMSDC-certified Minority Business Enterprise (MBE) headquartered in Portsmouth, New Hampshire. GTT is a subsidiary of Chenega Corporation, an Alaska-based company and one of the largest Alaska Native-owned corporations. An Inc. 5000 honoree and one of SIA's Best Staffing Firms to Work For, GTT connects professionals with Fortune 500 organizations across IT, engineering, construction, utilities, life sciences, financial services, and healthcare throughout the U.S. and Canada. We're committed to diverse, inclusive workplaces and to placing people in roles where they can do their best work.
Job Number: 26-18455 Industry: Operations & Management
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