[Hiring] Senior Data Analyst II @Zip

Role Description

Shape the analytics strategy behind Zip’s next generation of financial products, driving data-informed decisions from launch through growth.

Bring deep SQL, dbt, and product analytics expertise to solve complex business challenges, influence senior leaders, and build scalable analytics foundations for new product lines.

Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office.

As a Senior Data Analyst II working with the business, you'll own the analytics that power Zip's most strategically important growth bets. You'll be the primary analytical partner for teams building new Zip products, helping them understand customer behavior, product performance, and financial outcomes at each stage of the product lifecycle, from pre-launch through scaled adoption.

You'll operate in a highly ambiguous environment where the right questions are still being defined. You'll bring structure and rigor to that ambiguity, translating incomplete or conflicting signals into clear recommendations that guide product strategy, risk appetite, and go-to-market decisions.

Alongside delivering analysis, you'll build the scalable data models and shared metrics that will serve as the authoritative foundation for new product analytics as the initiative grows.

Interesting problems you’ll get to solve

• 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.
• 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.
• 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.
• Raise the analytical bar across the team through mentorship, knowledge sharing, and thoughtful review of analytical approaches and outputs.

Qualifications

• 8+ years of experience in data analytics, product analytics, business intelligence, or a related analytical discipline.
• 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.
• Demonstrated experience leading complex, ambiguous analytical initiatives from problem definition through analysis, recommendation, and business impact.
• 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.
• 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.

Benefits

• Flexible working culture
• Incentive programs
• Unlimited PTO
• Generous paid parental leave
• Leading family support policies
• Company-sponsored 401k match
• Learning and wellness subscription stipend
• Beautiful Union Square office with a casual dress code
• Industry-leading, employer-sponsored insurance for you and your dependents