Top Remote Analytics Jobs in Washington DC,

The Developer Architecture Analyst role at Imply focuses on engaging and supporting developers using Apache Druid. Responsibilities include gathering user intelligence, evaluating real-time analytics technologies, creating documentation, and shaping technical content. The role emphasizes collaboration with stakeholders to influence product roadmaps and improve user experiences through data-driven insights.

The Senior Pricing Analyst will develop pricing strategies to maximize revenue and market share for Versapay’s SaaS products. Responsibilities include analyzing large data sets, conducting research for pricing recommendations, building business cases for monetization strategies, and collaborating with teams to support decision-making through dashboards and visualizations.

As a Principal Threat Researcher at Palo Alto Networks, you will assess cyber threats, track malicious actors, and provide actionable intelligence. You will collaborate with a global team to analyze threats, utilizing datasets and developing assessments while improving detection capabilities within the product ecosystem.

The Lead Data Scientist will develop forecasting models and monitor revenue performance within Extend's Finance Analytics team. This role requires collaboration with senior leaders and cross-functional teams to identify revenue opportunities and improve financial planning. Key tasks include building data architecture for financial inputs and ensuring data integrity through effective governance.

The Strategic Planning Analyst is responsible for inventory management, analyzing OEM contracts, and collaborating with various teams to optimize aircraft-related processes. The role entails data analysis, KPI management, and ensuring compliance with ERP systems while addressing material requirements and making cost-effective decisions.

The Scientist, Analytical Sciences / QC is responsible for analytical support of drug product development in a collaborative environment. Duties include managing quality events, leading analytical method development and validation, assuring compliance with regulatory submissions, and providing leadership in analytical CMC activities for oncology drug candidates.

The Senior Fraud Risk Data Scientist at BILL will focus on developing predictive fraud detection models and transaction risk modeling. Responsibilities include designing experiments, performing advanced analytics, and collaborating with cross-functional teams to enhance risk strategies and business decision-making.