Business Analyst-Credit Cards

Are you ready to turn complex data into strategic business decisions? Apply Now!

Working with one of our top financial clients, this role calls for a Business 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.
• Strong 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 client organisation.
• An advanced degree such as an MMA, MBAN, MSc, MA, or MBA.
• Experience applying value-realisation frameworks and measuring return on investment.
• Experience building strategic analytics assets and applying modern MLOps practices.
• Passion for continuous learning and staying current with emerging trends in artificial intelligence, machine learning, and analytics.
• Experience sharing knowledge and supporting the development of analytics capabilities within a team.

BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled.

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