Top Remote Data & Analytics Jobs in Washington, DC

Lead marketing analytics and measurement strategy, build democratized dashboards and audience architecture, translate insights for executives, manage analysts and offshore delivery, align cross-functional teams, steward data ethics, integrate MarTech roadmap, and deliver impact reporting to optimize spend and drive firm growth.

The Head of Data Strategy & Access will lead external partnerships, negotiate data agreements with financial institutions, and advance industry standards in open banking.

As a Data Services Engineer, you will support clients by developing data products and solutions, manage projects, and collaborate across departments.

The Senior Analyst will lead empirical research and analytics, design datasets, present insights to clients, and collaborate across teams in healthcare analytics.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Lead development of Marriott's cloud data platform, build and own large-scale ETL pipelines on AWS and Snowflake, mentor engineers, manage service provider deliverables, ensure governance, data quality, deployment and production support, and research emerging AI/ML capabilities.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Design, build, and maintain production ETL/ELT pipelines, analytics-ready data models, and cloud data infrastructure. Improve pipeline performance, data quality, governance, and migrate legacy systems to modern platforms. Collaborate with stakeholders to translate business requirements into reliable data products for project, financial, and operational analytics.