Top Remote Data & Analytics Jobs

Provide technical and administrative support to leadership: monitor sprints and Scrum synchronizations, perform technical research, write Python scripts for automation and API testing, manage and report data using advanced Excel, and prepare meeting summaries and cross-functional coordination.

Lead architecture and technical delivery of a Databricks Lakehouse platform on Azure. Define end-to-end architecture, implement scalable Databricks patterns, migrate use cases to production, enforce governance/security (Unity Catalog, RLS, encryption), design streaming/batch pipelines, mentor engineers, and drive standards, observability, and reusable IaC assets to support analytics and AI/ML workloads.

Lead a team of data engineers to design, build, and maintain scalable data pipelines, a Data Vault, data warehouses and marts. Own backlog, sprint planning, mentoring, stakeholder collaboration, data validation/monitoring, and platform improvements to deliver key metrics and data infrastructure across the business.

Lead analytics strategy for federal programs: perform statistical modeling, forecasting, and data mining; build dashboards and automated workflows; ensure NIST/FISMA compliance and data quality; present findings to government stakeholders; mentor junior analysts and manage analytics workstreams.

The Technical Enablement & Documentation Lead is responsible for developing and maintaining product documentation, creating a certification program, and collaborating with teams to improve the knowledge experience for Flosum's users.

Build and maintain enterprise data platform and ETL/ELT pipelines, design and deploy data models, ensure data quality and governance, integrate third-party sources, and support analytics and AI initiatives across the organization.

Lead analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.

Build and maintain dashboards and decision systems that turn structured and unstructured customer data into actionable insights. Design and run campaigns, track impact, ensure data quality, automate workflows, and deliver prioritized evidence to Product and customer-facing teams to drive marketplace growth.

Design and own end-to-end data platform architecture, build ingestion and transformation pipelines, model multi-tenant datasets, optimize Postgres and ClickHouse performance/cost, implement orchestration and observability, define data quality and reconciliation standards, and mentor data/product engineers.

Lead and run Alpaca's data governance and data security program across the lakehouse and analytics stack. Build policies, data classification, entitlement reviews, access controls, metadata/lineage, data quality standards, vendor and use-case reviews, audit evidence for SOC2/ISO27001, and support cross-border sensitive data requests while partnering with Data Engineering, Data Science, Security, Privacy, and Legal.