Business Analyst - Credit Cards Product Analytics & Insight

Location: Toronto, ON

Onsite Flexibility

Hybrid currently one mandatory in-office day per week (Thursday), plus one Friday per month, with potential 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 Summary

We're on a mission to build the relationship-focused bank of the future, and we're looking for passionate collaborators, innovators, advisors, and leaders who can help us get there. Our distinct culture is built on a shared commitment to doing what's right for our clients, our people, and our communities, and we strive for excellence in everything we do. Life at this organization is not only what you do, but how you do it.

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 our clients.

The team supports both the Business Credit Card portfolio and broader portfolio analytics initiatives. They focus 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.

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 / Python Experience

Nice-to-Have Requirements

- Digital analytics experience (Adobe)/
- Marketing background
- Direct CIBC experience
- SAS experience (build and run macros)

Required Skills

- Good communication and storytelling skills
- Excellent relationship building, verbal and written communications skills
- Time management
- Ability to present information in an organized and concise manner
- 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 experience applying 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 creative 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
- Passion for innovation and a proven track record of translating AI and ML capabilities into measurable business value, with experience in value realization frameworks and ROI measurement
- Commitment to continuous learning and staying current with emerging trends and best practices in AI, machine learning, and innovative analytics methodologies
- 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
- Commitment to client-first engagement, going the extra mile to find the right solutions
- Ability to build relationships and networks to inspire outcomes and make an impact
- Alignment with organizational values trust, teamwork, and accountability

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
- Must be legally eligible to work in Canada at the specified location and, where applicable, must have a valid work or study permit

Required Experience

- 8 years of Business Analyst experience

Nice-to-Have Experience

- Previous direct experience at the client organization

Important Notes

- Regulatory credentials: No regulatory credential registration is required upon start.
- Employment verification and professional credential checks may be in progress at the time the assignment begins; the supplier is required to have all checks completed within 30 days of the start date.
- 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.

About the Client

This client is a leading Canadian financial services institution operating across personal banking, business banking, and wealth management, with a presence spanning Canada and international markets. The organization employs tens of thousands of professionals across roles including business analysts, data scientists, software engineers, product managers, and financial advisors who collaborate across enterprise-scale agile teams. The AI, Data and Analytics team specifically drives next-generation analytics initiatives across credit card products, client segments, marketing, and strategy functions to enable data-driven decision-making at scale.

About GTT

GTT 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

#LI-Hybrid #LI-GTT #gttca

📌 Business Analyst - Credit Cards Product Analytics & Insight (Toronto)
🏢 GTT
📍 Toronto