About the position
The Data Analyst 3 on the Credit and Payments Analytics team is responsible for delivering advanced data analysis and actionable insights to support Nordstrom's payments business. This role involves conducting deep-dive analysis, developing strategies, and producing detailed reporting via data storytelling to monitor portfolio performance, optimize vendor card marketing strategies, and enhance payment solutions. The Data Analyst 3 will work closely with cross-functional partners, the Payment Analytics Manager, and external stakeholders to provide data-driven recommendations that drive profitable growth, improve the customer experience, and mitigate risk, via start to end individual and team project ownership.
Responsibilities
• Advanced Analytics & Decision Support: Deliver data-driven analytics and actionable insights to guide strategic decision-making within the Payments organization.
• Conduct advanced analysis to interpret payment fee trends, JWN channel performance, customer engagement with JWN card, and card marketing campaign effectiveness among other areas of the business
• Develop and own forecasts, KPIs, and expectations for payment strategies, ensuring alignment with business objectives.
• Communication & Data Storytelling: Work using visualization and presentation tools to deliver a concise, compelling, and impactful message for presentations to key business partners
• Be able to identify key messages in data, either self-developed analytics or by team members, to provide actionable answers to the business
• Data Reporting & Insights: 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.
• Solve complex queries from leadership and business partners via self-driven data exploration and hypothesis testing
• Monitor emerging trends in account vintages, portfolio performance, and payment behaviors, sharing insights with relevant teams.
• Cross-Functional Collaboration: Partner with key internal stakeholders, including Marketing, Finance, Product, and IT, to support payment initiatives and data development.
• Work closely with external partners, such as Visa, Mastercard, to ensure alignment on strategies, reporting, and performance expectations.
• Team Leadership: Act as a subject matter expert (SME) within the team, ensuring best practices in data analysis, reporting, and model development are followed.
• Ad Hoc Projects: 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.
• 4+ years of experience in analytics and reporting, with a desired focus on payment or marketing analytics within the retail industry.
• 2+ years of experience in applying statistical techniques, including experimental design and hypothesis testing.
• Strong ability to synthesis data and outputs into an easy-to-understand story is a must for this role.
• Excellent verbal and written communication skills, capable of conveying complex information to diverse audiences.
• Able to develop and deliver presentations to key business partners with minimal oversite.
• Advanced proficiency in SQL, BigQuery, SAS, or Python for data extraction, manipulation, and analysis.
• Experience with data visualization tools like Tableau, Power BI, Looker, or similar platforms.
• Strong skills in creating macros, automating repetitive tasks, and optimizing code for efficiency.
Nice-to-haves
• Advanced degree preferred.
• Knowledge of the payments industry, including payment processing, fraud, and fee management is a plus
Benefits
• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources
• Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more.