Top Remote Analysis Reporting Jobs in Washington, DC

Ensure customer data accuracy and reliability by validating backend systems, querying and analyzing healthcare datasets, troubleshooting ingestion and orchestration failures, monitoring workflows, supporting customer technical discussions, documenting investigations, and collaborating across teams to deliver scalable data quality solutions.

The Product & Market Intelligence Analyst conducts product analysis, ensures demo environments are maintained, collaborates cross-functionally, and provides actionable market insights to influence strategies for product, sales, and marketing teams.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

The Associate Manager will provide category insights, develop strategic recommendations, and collaborate with teams to drive growth for Warehouse categories. Responsibilities include data analysis, planogram creation, and joint business planning.

The Senior Revenue Analytics Manager will provide analytics and insights for GTM teams, support forecasting, develop dashboards, and analyze sales performance to improve revenue efficiency.

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.

The Senior Data Scientist will develop and deploy analytical models supporting marketing strategies, assess campaign effectiveness, and optimize customer engagement strategies, employing advanced data-driven methods and partnering with marketing stakeholders.

Maintain and improve eligibility and claims data feeds, analyze feed performance and errors, troubleshoot discrepancies, work with external feed providers to map and test integrations, and help improve internal tools, documentation, and processes.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead analytics implementations using Google Analytics and Tag Manager for clients, providing mentorship and managing projects with a focus on enhancing clients' digital strategies.