Top Remote Data & Analytics Jobs

The Performance/Data Analyst III leads advanced analytics, machine learning modeling, ETL development, and reporting for DOJ operational and strategic needs.

The SAP IBP Analyst will optimize supply chain planning processes in e-commerce, focusing on SAP IBP modules, system integrations, and stakeholder management.

The Senior Associate manages customer success, leads client meetings, interprets data for marketing decisions, and oversees project timelines and problem-solving.

The Workday Data Analyst will support Workday deployments, perform data conversion, and assist with various project roles, including analysis and testing.

Lead design and ownership of ZoomInfo's PLG measurement system, define KPIs and leading indicators, analyze end-to-end customer journeys, diagnose growth issues, and influence product investments. Build AI-native, automated analytics workflows, reporting, and monitoring while partnering cross-functionally to prioritize experiments and scale insights that drive adoption, retention, monetization, and expansion.

Lead a small analytics team to produce data-driven insights for marketing and media optimization. Mine proprietary datasets, apply statistical methods, forecast KPI impacts, monitor business metrics, and act as liaison between business and technical teams to drive profitable media and client growth.

Analyze high-scale payment funnel and transactional data to identify conversion bottlenecks, design and evaluate A/B tests, define metrics and measurement frameworks, monitor product performance via dashboards, and translate insights into prioritized product recommendations in partnership with Product and Engineering.

Lead mixed-methods research with a quantitative focus: design analytics, run experiments, analyze product usage, build dashboards, enable self-service, support product discovery, and translate findings to influence product strategy.

The Manager of Business Analytics - Fraud leads efforts to develop and optimize fraud risk strategies, improve monitoring frameworks, and support product launches through analytical insights on fraud risks.

Design and maintain dashboards and reports, perform deep-dive analyses to identify trends and anomalies, ensure data integrity with engineers and data scientists, automate reporting, and translate complex datasets into clear insights for non-technical stakeholders.