Top Remote Data & Analytics Jobs in Washington, DC

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Leads enterprise analytics initiatives from problem framing through delivery, partnering with senior stakeholders to create actionable insights. Designs semantic models, metric layers, reporting frameworks, and enterprise dashboards integrating CRM, ERP, marketing, and other data sources. Establishes analytics standards, validation practices, documentation, and governance while mentoring analysts and enabling self-service users. The role requires advanced cloud data warehouse, Python, data modeling, software engineering, and stakeholder communication skills.

Designs, builds, and maintains scalable data pipelines, workflows, analytics solutions, and AI/ML capabilities within Palantir Foundry. Models enterprise data using Foundry Ontology, manages data assets and governance, integrates analytics tools, troubleshoots platform issues, and translates stakeholder requirements into maintainable solutions. The role also supports FAA users through documentation, training, collaboration, and ongoing platform enhancement.

Develops and maintains HCM dashboards, APIs, data pipelines, and analytical products for USDA modernization initiatives. Translates business requirements into secure, scalable data solutions; supports migration planning, data quality, governance, metadata, systems integration, testing, validation, and Databricks Lakehouse architecture. Responsibilities also include requirements analysis, UAT coordination, documentation, training, and lifecycle management of HCM data products.

Supports bus operations through performance reporting, dashboard maintenance, data management, research, and descriptive statistical analysis. The role gathers and synthesizes data, identifies trends, prepares recommendations and presentations, monitors business processes, and assists with workforce and operational improvement initiatives. It requires collaboration across departments, effective communication, and proficiency with Microsoft Office and spreadsheet-based analysis.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Analyze and manipulate large datasets supporting energy modeling and SEM programs. Review data before and after modeling, maintain standardized templates and databases, integrate data into statistical software, quality-control models and reports, and create work instructions. The role also involves automating data processing, troubleshooting Visual Basic and Excel tools, managing Smartsheet data, supporting benchmarking reports, and collaborating with internal teams and occasional clients.

Provides scientific and technical leadership for climate metrics, indicators, monitoring, evaluation, and learning. Develops carbon accounting, climate adaptation, mitigation, and resilience metrics; designs quantitative, statistical, and geospatial analyses; manages datasets; prepares reports and visualizations; and supports adaptive management and impact measurement. Advises climate and conservation teams, develops monitoring systems and protocols, trains staff and partners, and may conduct fieldwork or supervise project personnel.

Manages global partnership data systems, policies, reporting, measurement frameworks, and capacity-development administration. The role ensures accurate, governed, audit-ready data; supports donor and grant reporting; analyzes partner performance; maintains knowledge repositories and the Protection Collaborative website; and coordinates cross-functional activities involving program teams, grants, finance, leadership, and external reviews.

Design, build, and operate scalable cloud-native data pipelines and data lake/fabric architectures for Revenue Cycle Management. Implement ETL/ELT, integrate structured and unstructured sources and APIs, ensure data quality, lineage, and governance, and support AI/ML and analytics workloads with CI/CD and DevOps practices.