Top Remote Data & Analytics Jobs

Lead architecture and evolution of Cardlytics' AWS-based data compute platform and lakehouse. Define standards for batch, streaming, ML, and AI workloads; build semantic layer, feature store, and governance. Partner with analysts and engineers, drive CI/CD (Terraform, GitHub Actions), monitoring, security, cost governance, and incident response while mentoring teams and shaping platform strategy.

Lead and own the population health analytics pipeline: intake and reconciliation of claims, eligibility, and MAO-004 data; identify and reconcile care gaps and closures; deliver practice-level performance analysis and billing reconciliations; build funnel instrumentation; document, standardize, and automate pipelines with Product and Engineering. Ensure billing-grade accuracy and support program measurement aligned to CMS reconciliation windows.

Lead Business Intelligence and GTM Data Science to define Zip's data strategy, build a single source of truth and executive/GTM dashboards, enable AI data foundations, partner with Product Data Engineering, hire and scale the analytics team, and deliver automated executive and board reporting.

Design, build, and maintain scalable batch and streaming data pipelines, improve data modeling and governance, contribute to enterprise data architecture, and collaborate with cross-functional teams to ensure reliable, high-quality data for analytics and operational use.

The Senior Analyst - Pharmacy Pricing performs pharmacy pricing analyses, analyzes data trends, partners with teams for accurate outputs, and improves processes.

Lead and mentor an analytics team to design and implement data-driven solutions, align analytics with strategy, manage Agile workflows, build stakeholder relationships, and monitor KPIs to improve healthcare delivery and outcomes.

Own portfolio monitoring and forecasting across card and loan products. Build executive dashboards and forecasting frameworks, perform RCA and remediation, support loss forecasting and provisioning, and collaborate with Risk, Finance, Capital Management, Engineering, and Accounting to inform strategy and lender negotiations.

Design and implement scalable, secure enterprise data solutions on Databricks and Azure using Delta Lake and Medallion Architecture. Lead and mentor data engineering teams; define integration patterns, governance, security (Unity Catalog, RBAC, masking, row/column-level security), and CI/CD/IaC practices. Ensure data quality, lineage, monitoring, and optimize Spark/Delta workloads for performance and cost while aligning solutions with business needs.

The BI Developer III will enhance BI systems, develop applications for data analysis, and collaborate with other developers. Requires intermediate BI skills and knowledge.

Lead hands-on development, validation, and productionalization of actuarial models for commercial lines using Python and cloud platforms. Translate outputs into executive-ready deliverables, maintain auditability, partner with solution engineering to operationalize models, and scale a team and vendor resources across the analytics platform.