Top Remote Data & Analytics Jobs

Build and maintain scalable web crawlers to extract, validate, and structure product data from eCommerce sites. Use AI-driven techniques, browser automation, proxies, and APIs to handle dynamic content and anti-bot measures. Monitor performance, clean large datasets, collaborate with Product/Engineering/Data teams, and continuously improve crawling frameworks and automation.

Design, build, test, and maintain data architectures, database systems, and pipelines using GCP and BigQuery. Optimize data retrieval, automate processes, redesign infrastructure for scalability, collaborate with stakeholders, and deliver analytics tools that provide actionable business insights.

The Data Analyst will support data manipulation, ingest large volumes of data, create visualizations, and conduct analyses for U.S. Customs and Border Protection.

The Analytics Engineer will design and implement analytics solutions, maintain reporting dashboards, partner with Product on KPIs, and support marketing with analytics.

The Principal will lead data engineering projects, support pipeline development, ensure compliance with regulations, and collaborate with researchers to meet data requirements.

Design and implement data models and views for integrating legacy systems with ITBA, focusing on managing various data sources and deriving KPIs for scorecards.

Lead market and client-level fundraising data analysis and publish original research and benchmarks. Partner with Sales, Customer Success, and Marketing to produce ROI cases, client insights, and thought leadership. Present findings publicly at conferences, build repeatable insight frameworks and tools, and translate data into persuasive narratives for advancement leaders.

The Principal Biostatistician leads biomarker analysis for clinical studies, develops evaluation plans, conducts data analyses, mentors staff, and ensures accurate statistical deliverables while collaborating across teams.

Perform ETL and performance test scenario design and execution, build and run test automation scripts, document defects, troubleshoot data/reporting issues across UI/semantic layer/database. As Business Analyst, analyze and clarify client requirements, produce business and technical documentation, design test cases, run tests, gather findings, and coordinate with stakeholders.

The Data Analyst will optimize marketing funnel metrics, conduct analyses, manage dashboards, and promote data-driven decision-making within the team.