Top Remote Data & Analytics Jobs

Lead projects to enhance customer experience, oversee data operations, and implement marketing strategies while analyzing market needs and insights.

The Business Analyst Intern will support process improvements and data-driven decision-making by gathering requirements, analyzing data, and collaborating with stakeholders.

The Senior Marketing Data Analyst will analyze customer behavior, optimize marketing spend, and develop actionable strategies while managing the marketing data infrastructure and producing insights for decision-making.

This role involves owning GTM and growth models, forecasting sales revenue, building financial models, partnering with data teams, and providing insights to leadership on growth strategies.

The Senior Fraud Risk Manager designs and executes fraud strategies, analyzes data for business decisions, and ensures compliance with policies.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

Analyze nonprofit fundraising performance across channels, identify trends and opportunities, build forecasts and dashboards, present insights and recommendations to clients, and collaborate with agency teams to support fundraising strategy and campaign planning.

Turn channel data into actionable insights to improve partner behavior and forecasting. Analyze pipeline, deal quality, product mix, program ROI, and sales velocity. Deliver decision-ready recommendations, build dashboards, define data needs, and partner cross-functionally with Sales, Programs, and Ops to drive scalable revenue outcomes.

The Data Analyst will maintain KPI standards for Customer Support, build dashboards, produce analyses, and lead metric alignment conversations, ensuring accurate data interpretation and decision-making support.

Build dashboards and reports tracking enrollment, attendance, engagement, and attrition. Develop predictive models to identify at-risk students, analyze withdrawal causes, monitor early-warning indicators, partner with cross-functional teams to design retention interventions, and present insights to leadership while supporting data pipeline accuracy.