Top Remote Data & Analytics Jobs in Washington, DC

The Business Systems Analyst will analyze business requirements, document processes, and develop scalable solutions for Salesforce to enhance sales operations.

The Senior Manager, Consumer Insights will advise a client in the confections industry, translating complex data into actionable insights, partnering with internal teams, and guiding client relationships to maximize Circana's data use.

Analyze complex people data to identify trends and risks, leveraging automation for improved efficiency. Collaborate on people strategies and initiatives, providing actionable insights through data analysis.

The Data Analyst will elevate decision-making through data insights, manage datasets, design dashboards, and lead cross-functional projects to optimize operational performance within the Fintech sector.

The Data Engineer will build and maintain data pipelines, ensuring high-quality and scalable data systems while working on analytics and machine learning accessibility.

Lead risk modeling initiatives from data exploration to deployment, defining methodologies, advising clients, and integrating models into platforms.

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

The Principal, Advanced Analytics - Subscriber Forecasting leads forecasting methodologies and develops frameworks for subscriber volume forecasting, integrating advanced analytics, time-series modeling, and AI. Responsibilities include scenario planning and cross-functional collaboration to inform enterprise decision-making.

The Senior Business Systems Analyst will integrate Voice of Customer signals, analyze workflows, ensure data accuracy, and collaborate with various teams to enhance customer insights.

The Data Governance Liaison ensures data governance accuracy and compliance, automates data catalog processes, conducts audits, and promotes awareness within the organization.

The Lead GTM Analytics Engineer designs and manages the data model for GTM execution, ensuring accurate metrics and insights across Sales, Marketing, Customer Success, and Partnerships to drive revenue performance.

Build and operate scalable data pipelines and analytics-ready datasets using Python, dbt, and BigQuery. Develop Looker dashboards, ensure data quality and observability, optimize performance and cost, integrate data workflows with backend services and CI/CD, and support analytics, experimentation, and production use cases.