Senior Data Analyst II

Zip Co is a digital financial services company offering point-of-sale credit and digital payment services. The Senior Data Analyst II will lead analytics for new financial product lines, build scalable data models and shared metrics, and provide insights that guide product strategy, risk decisions, and growth. The role partners with senior leaders across Product, Finance, Risk, and Operations and mentors other analysts.

Responsibilities:

• Lead end to end analytics for Zip's new product lines from opportunity sizing and launch readiness through post-launch performance and iteration
• Partner with Product, Risk and Finance leaders to define success metrics, build reporting frameworks and create analytical infrastructure for products that are new to Zip's portfolio
• Develop a deep understanding of the customer funnel and lifecycle for new financial products, including eligibility, application, approval, repayment and retention. Identify the levers that drive healthy unit economics
• Analyze customer overlap, cross product adoption, and portfolio diversification to assess how new product verticals complement or expand Zip's existing BNPL customer base
• Build market sizing, segmentation, and opportunity analyses that inform where and how Zip should invest in new product growth
• Design, implement, and govern scalable analytics frameworks, including reusable data models, shared metrics, and analytical methodologies, purpose-built for new product categories where definitions must be established from scratch
• Develop advanced analyses integrating behavioral, financial, and risk data to provide holistic, forward-looking views of product health and customer outcomes
• Set and champion best practices for dbt data modeling, SQL performance, and analytical code quality as the new product analytics foundation is established
• Advise VP and executive-level stakeholders by synthesizing complex analysis into concise narratives connecting insights to product strategy, financial impact, risk trade-offs and growth opportunity
• Drive cross-functional alignment on metrics, definitions, and analytical approaches across Product, Finance, Risk, and Operations teams working on new products while escalating material decisions to leadership
• Raise the analytical bar across the team through mentorship, knowledge sharing, and thoughtful review of analytical approaches and outputs

Requirements:

• 8+ years of experience in data analytics, product analytics, business intelligence or a related analytical discipline, including experience in highly complex or ambiguous analytical environments
• Deep SQL expertise and demonstrated experience designing efficient analytical solutions across large and complex datasets
• Advanced experience with dbt and data modeling, including building scalable, reusable data models and trusted analytical foundations
• Advanced experience with Tableau or comparable BI platforms, and experience developing scalable reporting and visualization solutions
• Experience in fintech, consumer lending, or financial services analytics - ok with an understanding of customer credit, repayment behavior, and product risk dynamics is highly valued
• Demonstrated experience leading complex, ambiguous analytical initiatives from problem definition through analysis, recommendation, and business impact, ideally including new product launches or 0-to-1 analytics buildouts
• Experience partnering with senior leaders and influencing strategic decisions through clear, evidence-based analytical recommendations
• Strong business acumen with the ability to connect product analytics to broader business drivers, including revenue, unit economics, customer retention, and risk across a diversified product portfolio
• Experience establishing analytical standards, shared metrics or reusable frameworks that improve consistency and scalability across teams
• Experience applying AI-enabled tools and emerging technologies to analytics workflows, automation or self-service capabilities
• Demonstrated ability to mentor other analysts, elevate analytical rigor and contribute to stronger technical and problem-solving practices across a team
• visa sponsorship is not available for this position