Data Scientist-Senior Associate

Drive the future of data-driven decision making—join us to transform raw information into actionable insights that power business innovation.

As a Data Scientist on the Commerce Payments product team, you will play a key role in supporting delivery of embedded payment solutions for digital wallets and card-on-file in ecommerce. You'll need to be a hands-on analytics professional who can partner closely with Quad partners (Product, Technology, DCE, and D&A) to identify, design, and execute data and analytics solutions that drive business outcomes. You will need to manage end-to-end analytics projects, from requirements gathering through delivery, and will be comfortable working in a highly collaborative, cross-functional environment.

Job Responsibilities

• Collaborate with Quad partners to understand business needs, identify analytics opportunities, and translate them into actionable data solutions
• Lead and execute end-to-end analytics projects, including data extraction, transformation, analysis, and visualization, ensuring alignment with business objectives and control requirements
• Conduct deep-dive analyses to identify and quantify drivers of business performance and recommend actions to improve KPIs.
• Design, develop, and implement analytics tools, dashboards, and reports to support product and business objectives
• Ensure data integrity and quality in all analytics deliverables, adhering to CCB Data & Analytics controls processes
• Stay current with analytics best practices, tools, and industry trends to enhance analytics processes and methodologies

Required Qualifications, Capabilities, and Skills

• Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline)
• 3+ years of experience in data analytics supporting product, payments, or ecommerce teams
• Strong hands-on experience with analytical tools and platforms such as SQL, Python, Tableau, and Alteryx
• Excellent communication and presentation skills, with the ability to translate complex data into business insight for senior stakeholders
• Knowledge customer segmentation, propensity modeling, and causal inference analysis

Preferred Qualifications, Capabilities, and Skills

• Knowledge of payments, digital wallets, or ecommerce is a plus