Top Data & Analytics Jobs

Analyzes large-scale payment datasets to identify optimization opportunities and deliver recommendations that support merchant growth. Builds scalable analytics solutions, ETL pipelines, automation, and self-service tools; leads A/B tests and complex data investigations; develops dashboards; and translates findings into actionable narratives for technical, commercial, and product stakeholders. The role also supports mentorship, knowledge sharing, and analytical best practices.

Build and maintain production-grade data pipelines and enterprise integrations connecting Pigment with Workday, Salesforce, Looker, big data platforms, and third-party logistics warehouse systems. Lead API integrations, data transformations, master data management, quality controls, monitoring, retries, alerting, and testing. Support technical integration for global warehouse expansions and communicate complex architectures and failures to operational and business stakeholders.

Lead a ~10-person analytics and insights function supporting 1,000+ Operations staff. Define KPI frameworks, deliver leadership-ready insights and narratives, improve decision quality, build scalable reporting and operating models, partner with cross-functional teams, and integrate automation and AI to shift focus from reporting mechanics to strategic diagnosis and action.

Lead advanced risk, fraud, and payment optimization analyses for major fintech merchants. Analyze large-scale transactional, ML output, and labeled risk data; design experiments and statistical investigations; develop scalable analytical tools, ETL workflows, dashboards, and reusable frameworks; collaborate with risk product teams; translate findings into merchant strategies and product improvements; enable commercial stakeholders through playbooks and self-service tools; and mentor analysts.

Design, develop, deploy, and operate scalable ELT pipelines and data architectures for payments data. Integrate diverse data sources, ensure data quality and reliability, optimize pipeline and query performance, and establish data engineering best practices. Collaborate with data scientists, analysts, engineers, product managers, and customers while mentoring teams and creating trustworthy reporting and data products.

Drive North America commercial performance insights by translating business questions into data-driven analysis. Deliver reports for QBRs/MBRs, set and track commercial goals, analyze full-funnel performance, enforce global KPI standards, support revenue operations initiatives, and communicate actionable recommendations to regional leaders and cross-functional partners.