Are you ready to turn complex data into strategic business decisions? Working with one of our top financial clients, this role calls for aBusiness Analyst-Credit Cards to support product and portfolio analytics initiatives across the credit card business. The successful candidate will partner with business stakeholders, product teams, portfolio analytics groups, and cross-functional squads to evaluate customer behaviour, optimize products and campaigns, and improve portfolio outcomes. This contract offers the opportunity to contribute to high-impact analytics initiatives, work with advanced data and technology, and further develop expertise in credit card strategy, artificial intelligence, and machine learning. Pay rate range (CAD): $68.84/hr – $82.61/hr Responsibilities
- Lead analytics engagements supporting credit card product performance, portfolio management, customer insights, pricing, campaigns, acquisition, and retention.
- Gather and translate business requirements into clear analytics objectives, specifications, and actionable recommendations.
- Analyse large, complex datasets from multiple sources to identify trends, customer behaviours, performance opportunities, and business risks.
- Apply descriptive, predictive, and prescriptive analytics to support strategic decision-making.
- Develop, deploy, and maintain machine learning models and AI-enabled solutions that address business challenges.
- Build data pipelines and end-to-end analytics solutions, including data extraction, cleansing, transformation, analysis, modelling, deployment, and implementation.
- Leverage big data, business intelligence, data visualisation, self-service analytics, and dashboard tools to support stakeholder needs.
- Identify opportunities to apply emerging AI, machine learning,



and analytics methodologies to improve customer experiences, generate revenue, and strengthen business outcomes.
- Translate analytical findings into measurable business value, including return on investment and value-realisation outcomes.
- Present clear, concise insights and recommendations to technical and non-technical stakeholders, including senior leaders.
- Collaborate with Agile teams and multiple stakeholders to deliver analytics initiatives from conception through implementation.
- Maintain ownership of deliverables, ensuring requirements are understood, solutions are fit for purpose, and outcomes remain focused on business value.
- Contribute to a culture of innovation, continuous learning, knowledge sharing, and improved analytics practices. Desired Skill-Set
- At least 8 years of Business Analyst experience.
- At least 3 years of product knowledge experience.
- At least 3 years of experience in a consultative role focused on data analysis.
- Previous experience in the banking or credit card industry, with knowledge of the credit card business.
- Experience manipulating and synthesising large volumes of complex information from multiple sources.
- Robust knowledge of data modelling and statistical analysis techniques.
- Experience working with multiple stakeholders and cross-functional teams.
- Experience working on an Agile team.
- Experience using SQL and SAS, including building and running macros.




- Demonstrated expertise in artificial intelligence and machine learning, including developing, deploying, and maintaining models in production environments.
- Knowledge of machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
- Experience applying supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning techniques.
- Proficiency with programming languages and modern data, analytics, and dashboard tools, including Python, R, SAS, SQL, Hadoop, Spark, Alteryx, Tableau, Databricks, Power BI, MLflow, Azure Machine Learning, and AWS SageMaker.
- Experience developing end-to-end analytics solutions involving requirements gathering, data extraction, cleansing, transformation, statistical analysis, model development, deployment, presentation, and implementation.
- Working knowledge of regression, time-series analysis, clustering, decision trees, ensemble methods, neural networks, gradient boosting, and dimensionality reduction.
- Strong critical-thinking, problem-solving, decision-making, and independent analytical skills.
- Excellent communication, storytelling, relationship-building, presentation, verbal, and written communication skills.
- Strong time-management skills and the ability to present information in an organised and concise manner.
- Ability to translate complex analytical concepts into clear business recommendations for varied audiences.
- Degree in mathematics, statistics, computer science, economics, engineering, physics, business, or an equivalent combination of education and experience. Nice to Have
- Digital analytics experience, including Adobe Analytics.
- Direct experience supporting the clie

📌 Business Analyst-Credit Cards (Toronto)
🏢 BeachHead
📍 Toronto