Top Remote Data & Analytics Jobs

Advise clients and lead delivery of enterprise data strategy and governance programs. Design governance technology, data architecture, MDM, data quality, operating models, roadmaps, and AI readiness. Assess environments, build implementation plans, evaluate vendor solutions, support business development, manage teams, budgets, and delivery, and develop methodologies to improve data management maturity.

Designs, develops, and maintains Workday integrations and enterprise application solutions; translates business requirements into technical designs; troubleshoots production issues; collaborates with stakeholders; ensures security and delivers solutions using Workday integration tools and web services.

The Data and Analytics Consultant will design, develop, and implement data reporting, visualizations, and analytics solutions for clients while assisting them in data understanding and value extraction.

Support Macro Research across the full research cycle: gather data, produce charts, draft and fact-check reports, track macro and crypto-market developments, build and maintain datasets, models, and visualizations, and contribute rigorous, detail-oriented analysis.

Support Data Services by analyzing and validating data using SQL and Excel, perform quality checks and reconciliations, monitor production workflows, communicate status and escalations, and identify process improvements. Act as liaison between business stakeholders and technical teams to ensure accurate, timely data deliverables.

Design, implement, and sustain metadata governance for a federated DoD data ecosystem. Develop automated metadata tagging and lineage tracking, integrate OpenLineage/Unity Catalog/ESRI systems, ensure DoD compliance and GIS metadata standards, and produce metadata compliance and lineage reports.

Design and implement end-to-end data solutions on Microsoft Fabric and Azure for insurance datasets. Build ingestion pipelines (batch, streaming, API), Lakehouse architectures, and data models. Enforce governance, security, compliance, and cost/performance optimizations while guiding engineers and stakeholders on architectural best practices.

Own and operate the Snowflake warehouse and Sigma semantic layer; manage ingestion (Fivetran), dbt model scoping and review, reverse-ETL, data quality SLAs, dashboards, month-end financial analytics, vendor management, and automation to support AdOps, Sales, Finance, and executive reporting.

Lead data quality and analytics for VA EHRM deployments by building and validating pipelines, applying SQL/R/Python and NLP/ML, defining governance rules in Purview/Collibra, certifying dashboards (Tableau/Power BI), and delivering actionable visualizations and insights to executive stakeholders.

Own and scale Provable's data platform on GCP: build and optimize ingestion pipelines from blockchain indexers, design privacy-aware data models, manage Postgres and BigQuery, develop high-performance data-serving APIs, ensure data quality and observability, and use IaC (Terraform, Helm) and Kubernetes to deploy and cost-optimize environments.