Top Remote Data & Analytics Jobs

Uses Esri ArcGIS tools to execute GIS projects, develop databases and maps, organize and analyze spatial data, perform quality assurance, prepare documentation, support client deliverables, and assist field teams with mapping and data collection activities.

Analyzes, validates, reconciles, and quality-assures healthcare data from disparate systems using Excel and SQL. Interacts with hospital customers, communicates findings, troubleshoots technical issues, supports SaaS implementations, and develops SFTP reporting automation. The role also retrieves data, assists with ingestion and reporting, and collaborates with implementation leads and internal teams to meet project deadlines and customer needs.

Lead research and listening for a specific audience: design and run primary research, integrate listening signals, synthesize quantitative and qualitative insights, and deliver timely, decision-oriented recommendations while coaching analysts and partnering with enterprise stakeholders.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

Monitor and validate traffic quality across dealership websites, detect and classify bots and invalid sessions, validate GA4 and server-side tagging, configure and optimize Akamai Bot Management, develop dashboards and allowlists, investigate traffic anomalies, and partner with Analytics and Data Engineering to exclude bot traffic from reporting and ensure accurate attribution.

Manage and administer SQL Server, PostgreSQL, MySQL, and NoSQL platforms. Handle backups, archiving, security, performance tuning, ETL/SSIS and cloud data pipelines, and support reporting, DevOps, and application teams. Monitor jobs, troubleshoot issues, implement best practices, and drive automation and optimization across dev/staging/production environments.

Design, build, and own end-to-end data systems and pipelines powering payments, fraud response, and reporting. Implement streaming and batch integrations, APIs, and workflow orchestration. Define data correctness with monitoring, alerting, and tests. Create reusable patterns and collaborate with stakeholders to clarify requirements and tradeoffs.

Lead strategy, development, and operations of the enterprise data platform. Drive DataOps and MLOps adoption, automation with IaC, oversee cloud data operations, mentor engineers, ensure security and governance, and optimize data integration, ETL/ELT, and platform performance.

Design, build, and operate a scalable, secure data platform. Architect end-to-end data pipelines, manage Snowflake performance and costs, implement CI/CD and observability, ensure data governance and HIPAA alignment, integrate diverse sources, mentor teammates, and support analytics and business users.

Lead architect and hands‑on senior data engineer who designs scalable data platforms and medallion architectures, optimizes ETL/ELT and data modeling, implements CI/CD and IaC, enforces data governance and security, mentors engineers, integrates BI tools, and leads client-facing technical engagements.