Business Data Analyst (Credit Card Portfolio)

goeasy Ltd.; Mississauga; On-site; CAD 60,000 - 100,000; Full time

Job summary

Join a dynamic and rapidly growing company as a Business Data Analyst focused on the Credit Card Portfolio. In this exciting role, you will leverage your analytical skills to develop predictive models and optimize credit card offerings. Collaborate with cross-functional teams to enhance performance and customer satisfaction while leading impactful projects. This innovative firm values a supportive work environment and offers flexible arrangements, making it an ideal place for professionals eager to make a difference in the financial services industry.

Benefits

Flexible Work Arrangements

Comprehensive Benefits

Supportive Work Environment

Qualifications

• 3+ years of experience in data analysis within financial services.
• Proven experience with predictive modeling and financial portfolio analysis.

Responsibilities

• Analyze large datasets to identify key issues in the credit card portfolio.
• Develop data-driven strategies to optimize performance and enhance customer retention.
• Communicate findings clearly to senior leadership.

Skills

Predictive Modeling

Data Analysis

Python

R

SQL

Communication Skills

Education

Bachelor’s Degree in Data Science

Bachelor’s Degree in Mathematics

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Economics

Tools

Data Analysis Tools

Job description

Business Data Analyst (Credit Card Portfolio)

Join one of Canada’s fastest-growing companies as a Business Data Analyst (Credit Card Portfolio) at goeasy Ltd.

About goeasy: Recognized for our culture and growth, we are a leading alternative consumer lender committed to helping Canadians create a brighter future. We offer various financial products through brands like easyhome, easyfinancial, and LendCare.

Role Overview: As a Data Analyst (Credit Card Portfolio), you will analyze data, develop predictive models, and collaborate with teams to optimize our credit card offerings, impacting profitability and customer satisfaction.

Responsibilities:

• Analyze large datasets to identify key issues and opportunities within the credit card portfolio.
• Develop data-driven strategies to optimize performance, reduce risk, and enhance customer retention.
• Use machine learning and predictive modeling techniques to derive insights for strategic decisions.
• Work with stakeholders on product enhancements, pricing, and segmentation strategies.
• Build and refine predictive models for portfolio performance and risk management.
• Communicate findings and recommendations clearly to senior leadership.
• Document methodologies, assumptions, and streamline reporting processes.
• Lead projects from problem framing to implementation, ensuring successful outcomes.

Minimum Requirements:

• Bachelor’s degree in Data Science, Mathematics, Computer Science, Economics, or related field; certifications are a plus.
• At least 3 years of experience in a similar role within financial services or credit card industry.
• Proven experience with predictive modeling, financial portfolio analysis, and data analysis tools (Python, R, SQL).
• Knowledge of credit card products and industry metrics.
• Strong communication skills for presenting technical insights to non-technical stakeholders.
• Experience working cross-functionally and leading projects.

We offer flexible work arrangements, benefits, and a supportive environment. Internal applicants should apply through the provided link with manager endorsement.