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Senior Business Analyst, Credit Card Analytics & Insights

  • Toronto, ON, Canada

$54.29 to $59.38 CAD / hour · Contract

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Job details

Pay
$54.29 to $59.38 CAD / hour
Job type
Contract
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Posting language
English
Posted

Original job description

We’re looking for a Senior Business Analyst with 8+ years of experience to join a high-performing Credit Card Analytics team supporting product and portfolio initiatives.

This is not a traditional Business Analyst or Data Analyst role. You’ll sit at the intersection of data analytics, business consulting, and credit card strategy, using data to identify opportunities, provide actionable recommendations, and influence business decisions. You’ll work across multiple squads and regularly present insights to business partners and senior leadership.

What You’ll Be Doing

  • Analyze large, complex datasets using SQL and Python to uncover trends, opportunities, and actionable business insights.
  • Support credit card product and portfolio analytics, including forecasting, performance analysis, customer behaviour and portfolio optimization.
  • Conduct post-campaign analysis, including test vs. control analysis and statistical significance, to understand campaign effectiveness and business impact.
  • Translate technical analysis, data and emerging AI/ML capabilities into clear business recommendations and measurable outcomes.
  • Partner with product, analytics and business teams to understand challenges and determine how data can support better decision-making.
  • Present insights and recommendations to team leads, business stakeholders and senior leadership.
  • Balance priorities across multiple squads and independently drive analytics engagements from problem definition through recommendation.
  • Identify opportunities to leverage AI and productivity tools such as Copilot to improve processes and decision-making.
  • Support an evolving analytics environment, including the transition from legacy SAS processes toward SQL-based solutions.

What We’re Looking For

  • 8+ years of Business Analyst, analytics consulting, or related experience.
  • Strong SQL skills and experience working with large, complex datasets.
  • Python experience for data analysis and analytics.
  • Previous experience within credit cards, banking, financial services, or related financial products, with credit card expertise strongly preferred.
  • 3+ years of experience working with products and translating business needs into analytical solutions.
  • 3+ years in a consultative, data-focused role where you turned analysis into actionable business recommendations.
  • Strong understanding of statistical analysis, including concepts such as forecasting, regression, segmentation, test/control methodology and statistical significance.
  • Excellent stakeholder management skills with the ability to work across multiple teams and competing priorities.
  • Strong communication and data storytelling skills, including experience presenting complex findings to senior stakeholders.
  • Experience working in an Agile environment.

Nice to Have

  • Databricks experience.
  • SAS experience, particularly building and running macros.
  • Credit card campaign or marketing analytics experience.
  • Adobe Analytics or other digital analytics experience.
  • Experience applying AI or machine learning concepts to business problems.
  • Experience with Tableau, Power BI or other visualization tools.

What Will Make You Successful

Technical skills are important, but this role requires someone who can go beyond producing the analysis. You should be comfortable challenging assumptions, understanding the business context behind the data, managing relationships across multiple squads, and clearly explaining what the numbers mean and what the business should do next.

If you’re someone who can combine strong SQL and analytics skills with credit card knowledge, business judgment, and executive-level communication, we’d love to hear from you.

More about this job

Responsibilities

Analyze complex datasets to identify trends and opportunities, and support credit card product and portfolio decisions through forecasting, performance analysis, campaign evaluation, and optimization. Translate findings and emerging AI/ML capabilities into actionable recommendations, present them to stakeholders and senior leaders, and independently manage analytics engagements across multiple squads.

Requirements

Requires 8+ years of business analysis, analytics consulting, or related experience, strong SQL and Python skills, and experience with complex datasets and financial products, preferably credit cards. Candidates should have at least 3 years of product-related analytical work and consultative recommendations, statistical analysis expertise, strong communication and stakeholder skills, and Agile experience.

Skills

  • SQL
  • Python
  • Credit Card Analytics
  • Portfolio Analytics
  • Statistical Analysis
  • Forecasting
  • Regression
  • Segmentation
  • Test-Control Analysis
  • Campaign Analytics
  • Business Consulting
  • Stakeholder Management
  • Data Storytelling
  • Agile
  • Data Visualization
  • AI And Machine Learning

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Categories

  • Data & Analytics
  • Finance & Accounting
  • Consulting
  • Marketing

Keywords

  • SQL
  • Python
  • Credit Card Analytics
  • Portfolio Optimization
  • Forecasting
  • Performance Analysis
  • Customer Behavior
  • Campaign Analytics
  • Test-Control Methodology
  • Statistical Significance
  • Regression
  • Segmentation
  • Data Storytelling
  • Stakeholder Management
  • Agile
  • Databricks
  • SAS
  • SAS Macros
  • Adobe Analytics
  • Artificial Intelligence
  • Machine Learning
  • Copilot
  • Tableau
  • Power BI
  • Financial Services
  • Product Analytics

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