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 Applied Research Engineer II will lead applied research initiatives, develop algorithms, and collaborate across teams to translate scientific insights into impactful products in human wellness.

The Senior Healthcare Analyst will analyze healthcare data, provide insights to improve clinical programs, and collaborate with multidisciplinary teams to drive program effectiveness and optimize patient outcomes.

The Sr. Operations Analytics Manager will enhance billing and account efficiency, analyze complex data, and provide actionable insights to improve financial performance and customer service.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.