Data Analyst 3- Hybrid Seattle

About the Role

Key Responsibilities

• Deliver data-driven analytics and actionable insights to guide strategic decision-making within the Credit and Payments organization.
• Conduct advanced analysis to interpret credit card acquisition trends, portfolio performance, and card marketing campaign effectiveness.
• Develop and monitor forecasts, KPIs, and expectations for credit and payment strategies, ensuring alignment with business objectives.
• Build and maintain dashboards, reports, and presentations to communicate key insights and trends to internal stakeholders.
• Summarize complex data into actionable recommendations and present findings clearly to cross-functional partners and senior leadership.
• Monitor emerging trends in account vintages, portfolio performance, and payment behaviors, sharing insights with relevant teams.
• Partner with key internal stakeholders, including Marketing, Finance, Product, and IT, to support credit and payment initiatives.
• Work closely with external partners, such as TD Bank, to ensure alignment on strategies, reporting, and performance expectations.
• Collaborate with other analysts, including mentoring and guiding junior analysts, to foster technical, professional, and team development.
• Act as a subject matter expert (SME) within the team, ensuring best practices in data analysis, reporting, and model development are followed.
• Respond to ad hoc business requests with timely and accurate analysis, driving actionable insights to solve complex problems.

Requirements

• Bachelor's degree in Finance, Economics, Statistics, Data Science, Business Administration, or a related field. Advanced degree preferred.
• 4+ years of analytical experience in portfolio management, risk management, or lending within the financial services industry, preferably in consumer credit card.
• 2+ years of experience in applying statistical techniques, including experimental design and hypothesis testing.
• Advanced proficiency in SQL, BigQuery, SAS, or Python for data extraction, manipulation, and analysis.
• Experience with data visualization tools like Looker Studio and leveraging large datasets to draw insights that drive business decisions.
• Strong skills in creating macros, automating repetitive tasks, and optimizing code for efficiency.

Nice to Have

• Experience with developing and monitoring credit and payment forecasts and KPIs.
• Experience working with external partners such as banks or financial institutions.
• Knowledge of credit portfolio management and risk mitigation strategies.

Qualifications

• Educational background as specified in requirements
• Experience in portfolio management, risk management, or lending within financial services

Benefits & Perks

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources
• Performance-based incentives/bonuses
• Benefits including 401k, PTO, Holidays, and more