Top Remote Data & Analytics Jobs

Performs ongoing and ad hoc data research and analysis related to business performance, anomalies, industry trends, and claims projections. Supports maintenance of historical claims databases used for health insurance actuarial processes and premium-rate determination. Communicates findings to business stakeholders, documents process and data changes, fulfills data requests accurately, and helps develop product and process improvements.

Own end-to-end business analyses, financial models, forecasts, KPI dashboards, and executive recommendations. Structure ambiguous problems, test hypotheses, identify operational bottlenecks, improve processes, and coordinate special projects from kickoff through delivery. Work directly with founders and executives in a fully remote environment, communicating complex analysis clearly and driving insights into action.

Leads research supporting clean energy campaign approvals, supervises and develops researchers, improves research quality and processes, evaluates projects, identifies data sources, manages vendors and staffing needs, and partners across research, campaigns, communications, and partnerships to deliver strategic research products.

Leads data engineering strategy, architecture, delivery, support, and lifecycle management for secure, scalable cloud and hosted data solutions. Collaborates with technical and business stakeholders to deliver complex datasets, establish enterprise data standards, manage data engineering teams, and oversee maintenance, change management, capacity planning, business continuity, disaster recovery, and regulatory security requirements. The role also evaluates third-party tools and supports Azure DevOps, SDLC, CI/CD, and technical innovation.

Senior individual contributor who architects and builds IAA's Azure-based data platform (ingestion, transformation, semantic modeling, delivery). Designs and implements complex production data pipelines, supports BI and ML workloads, sets standards, mentors engineers, and partners with business and engineering leaders to enable analytics, forecasting, and AI.

Design, build, and optimize scalable cloud data pipelines and infrastructure. Maintain and refactor SQL and ETL processes, automate data workflows, ensure data quality/security, and troubleshoot complex issues. Provide technical leadership and mentor junior engineers while collaborating with stakeholders to translate requirements.

Build and maintain commercial data pipelines, ETL processes, scalable data models, KPI reporting, dashboards, and data governance for Revenue Operations. Support headcount and capacity planning, sales compensation alignment, quota and territory modeling, and rep productivity analysis. Lead analytics platform initiatives, resolve data quality issues, enable self-service reporting, and partner with Sales, Marketing, Finance, and business analytics teams to improve revenue decision-making.

Work with clients and technology teams to gather and translate business requirements into technical user stories and solutions, propose process improvements, and communicate effectively with stakeholders. Assist in analytical solution delivery and may write/execute SQL queries.

Build dashboards and reports tracking enrollment, attendance, engagement, and attrition. Develop predictive models to identify at-risk students, analyze withdrawal causes, monitor early-warning indicators, partner with cross-functional teams to design retention interventions, and present insights to leadership while supporting data pipeline accuracy.

The Data Acquisition Specialist will lead civic data research projects, manage data acquisition processes, and collaborate with technical teams to enhance data quality.