Top Data & Analytics Jobs

Lead revenue analytics by developing business cases, dashboards, KPIs, experiments, and automated analytics solutions. Partner with Client Success, Marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and identify growth opportunities. The role requires translating structured and unstructured data into actionable insights, standardizing analytical workflows, and communicating recommendations to internal and external stakeholders.

Lead revenue analytics by developing business cases, dashboards, KPI frameworks, experiments, and automated analytics solutions. Partner with client success, marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and scale data-driven execution. Serve as the analytics subject matter expert while translating structured and unstructured data into actionable recommendations and compelling stakeholder narratives.

Lead end-to-end analytics for major platform partnerships, identifying growth opportunities and informing product, investment, risk, and pricing decisions. Conduct complex analyses, design experiments, build scalable data models, metrics, dashboards, and AI-assisted workflows, and translate findings into business recommendations. Partner cross-functionally with Product, Engineering, Finance, Revenue, and Strategic Partnerships while mentoring analysts and improving analytical practices.

Lead the design and operation of automated compliance monitoring for consumer lending: translate regulations into rule-based data checks, own exam and audit data requests, triage exceptions, drive automation, steward compliance data, and provide technical mentorship to a supporting analyst. Produce audit-ready, reproducible evidence for regulators, bank partners, auditors, and senior leadership.

Lead independent validation and governance of credit and fraud models, build automated Python monitoring for model drift and performance, drive remediation with model developers, and liaise with audit and regulators to support Affirm Bank's model risk management.

Build and maintain dbt data models, dashboards, metrics, and automation to support revenue teams and external merchant reporting. Develop semantic and metadata layers for reliable AI, partner with engineering and business stakeholders to deliver durable data products, and improve analytics workflows through version control, documentation, and governance.

Build and maintain dbt data models, dashboards, metrics, automation, semantic layers, and reporting infrastructure for Revenue. Develop reliable data products and governance foundations that support business decision-making and AI systems. Partner with engineering, Business Systems, and stakeholders to translate ambiguous requirements into scalable, tested solutions. Support external merchant reporting and contribute to version control, documentation, code review, and analytics best practices.

Support risk and analytics efforts by performing SQL/Python-based analysis, monitoring portfolio health, building scalable reports, collaborating cross-functionally, and integrating AI tools to surface insights that inform product, risk, and growth decisions.

Own end-to-end analytical lifecycle to develop and optimize business, risk, and growth strategies. Monitor portfolio and macro trends, build and interpret ML-driven models, lead cross-functional launches, mentor junior analysts, and build AI-assisted workflows to improve decisioning and measurement across products and geographies.

Lead pricing analytics for international market expansion: define pricing strategy, structure platform deals, perform economic analyses, run experiments, monitor and iterate pricing and offerings, and partner with cross-functional teams (Product, Credit, Finance, Engineering, Strategic Partnerships).