СШАZip Co
Senior Data Analyst II
2 дн. назад
СШАSeniorRemote
sqldbttableaudata modelingbusiness intelligenceai-enabled tools
Senior Data Analyst II role at Zip Co, a digital financial services company, driving analytics strategy for new financial products in a remote-first setup based in the US.
About the company
- Zip is a digital financial services company, offering innovative, people-centred products that bring customers and merchants together.
- Zip is at an exciting inflection point as it expands beyond its core BNPL product into new financial products.
About the product
- Next generation of financial products at Zip, expanding beyond the BNPL product.
- Products under development lack established playbooks, requiring analytics from the ground up.
- Focus on customer behavior, product performance, and financial outcomes from pre-launch to scaled adoption.
- New product categories involve eligibility, application, approval, repayment and retention analyses.
- Analyzing customer overlap, cross product adoption and portfolio diversification in the financial products suite.
Responsibilities
- Shape the analytics strategy behind Zip’s next generation of financial products, driving data-informed decisions from launch through growth.
- Lead complex, high-impact analytical initiatives including market sizing, product-market fit measurement, customer eligibility and retention analysis.
- Own analytics powering Zip's most strategically important growth bets and be primary analytical partner for new product teams.
- Operate in a highly ambiguous environment, bringing structure and rigor to define right questions and clear recommendations.
- Build scalable data models and shared metrics as authoritative foundation for new product analytics.
- Lead end to end analytics for new product lines from opportunity sizing and launch readiness through post-launch iteration.
- Partner with Product, Risk and Finance leaders to define success metrics, build reporting frameworks and analytical infrastructure.
- Design, implement and govern scalable analytics frameworks including reusable data models and shared metrics.
- Develop advanced analyses integrating behavioral, financial, and risk data to provide 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 narratives connecting insights to product strategy and financial impact.
- Drive cross-functional alignment on metrics, definitions, and analytical approaches across teams.
- Raise the analytical bar through mentorship, knowledge sharing, and review of analytical approaches and outputs.
Requirements
- 8+ years of experience in data analytics, product analytics, business intelligence or related analytical disciplines.
- Deep SQL expertise and experience designing efficient analytical solutions across large datasets.
- Advanced experience with dbt and data modeling, building scalable, reusable data models and trusted analytical foundations.
- Advanced experience with Tableau or comparable BI platforms and developing scalable reporting and visualization solutions.
- Experience in fintech, consumer lending or financial services analytics, understanding customer credit, repayment behavior and product risk dynamics.
- Experience leading complex, ambiguous analytical initiatives from problem definition through business impact, including new product launches or 0-to-1 analytics buildouts.
- Experience partnering with senior leaders and influencing strategic decisions with evidence-based recommendations.
- Strong business acumen connecting product analytics to revenue, unit economics, retention and risk across diversified portfolio.
- Experience establishing analytical standards, shared metrics or reusable frameworks for consistency and scalability.
- Experience applying AI-enabled tools and emerging technologies to analytics workflows, automation or self-service capabilities.
- Demonstrated ability to mentor other analysts and elevate analytical rigor.
Conditions
- Remote-first opportunity for US-based employees with option to work in-person at Manhattan office.