Top Data & Analytics Jobs

As a Data Engineer, you will develop solutions for customer-centric technology, ensuring platform integration and managing data architecture. Responsibilities include building data processes, maintaining data integrity, and collaborating cross-functionally to meet business challenges.

Lead and execute analytics across client engagements: measurement strategy, reporting, advanced measurement (attribution, incrementality, experimentation), AI-enabled analytics, and team leadership. Ensure analytics inform media planning, deliver scalable measurement frameworks, and drive client-facing insights tied to business outcomes while mentoring an analytics team.

The Epidemiologist will develop safety signal detection documents, participate in observational and interventional studies, and contribute to risk management and safety evaluations for pharmaceutical products.

The Senior Analytics Engineering Manager will oversee analytics engineering vision, manage a team, ensure data quality, and drive data-driven decisions across departments.

Develop and enhance training programs for the Intelligence Community by clarifying training needs, sourcing content, and creating training materials using various technologies.

Analyze case-management data and produce reports and infographics using Excel and Tableau. Write formulas and basic code, define metrics, draft technical requirements and user stories, create onboarding and reference materials, perform small-scope business-process analysis, implement metrics-driven process improvements, and propose/facilitate knowledge management best practices. Support transition from manual exports to a custom dashboarded system. Onsite in the Washington metro area; requires US citizenship and an active Top Secret clearance with full-scope polygraph.

The Senior Fraud Risk Analyst will analyze fraud patterns, develop detection strategies, and implement controls to protect the lending platform from fraud. Responsibilities include monitoring performance data, evaluating fraud tools, and collaborating with cross-functional teams.

The Business Systems Analyst will support the finance team by defining and documenting business and functional requirements, analyzing systems, troubleshooting, and managing relationships with vendors and IT resources.

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.

Develop and deploy fraud detection models using analytics and machine learning, monitor real-time transactions, investigate incidents, design dashboards and reports, collaborate with IT and security, ensure regulatory compliance, and recommend preventive measures against payment and e-commerce fraud.