Top Remote Data & Analytics Jobs

Build and maintain scalable data pipelines and integrations using Databricks and Azure. Transform and model large structured and unstructured datasets to support reporting, analytics, and operational needs. Implement data quality, monitoring, and governance; troubleshoot pipeline performance; collaborate with stakeholders and mentor junior engineers.

Collect, analyze, and interpret fleet portfolio data to produce dashboards, KPIs, and reports. Partner with stakeholders to automate reporting, validate data quality, perform complex analyses, and present insights. Support forecasting, predictive modeling, documentation, and mentor junior analysts to improve operational efficiency and profitability.

Support review of source inventories and cross-reference authoritative port/waterway datasets; design and implement geodatabases and attribute schemas; produce and validate polygons, run topology checks, develop metadata and source lineage, document discrepancies, and support QA and incremental production deliveries.

Delineate, generalize, and prepare port, waterway, coastal, and maritime features using approved geometry and the Waterways Harmonization model. Create supplemental geometry, determine logical feature endpoints, preserve naming and source lineage, and produce publication-ready geospatial data for operational use, ingestion, maintenance, and archival while following schema and quality standards.

Design, build, and operate large-scale data pipelines and ETL processes to normalize varied partner datasets. Lead technical decisions, mentor engineers, implement testing and monitoring, manage data warehouses/lakes, and collaborate cross-functionally to deliver robust data infrastructure that supports ML and product teams.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Define and lead the technical architecture for a lakehouse on AWS, build production pipelines and data models for time-series and multi-source data, introduce data governance and catalog foundations, author platform playbooks (ADRs, runbooks, Terraform modules), deliver projects end-to-end, and mentor engineers while representing the platform to senior leadership and non-technical stakeholders.

Provide contact center reporting, analytics, and BI: build and automate dashboards/reports, analyze telephony and workforce metrics, validate data, and deliver actionable insights to operations and leadership.

Lead enterprise insurance analytics initiatives supporting underwriting, claims, finance, and operations. Build reporting and dashboards, ensure data integrity across TPAs and systems, support captive program performance, partner with actuary and IT, and present actionable insights to leadership.

Design, build, and maintain Common App's enterprise data warehouse, semantic/metrics layer, and reusable data products. Refactor pipelines for performance and cost, implement automated data quality, enforce governance (PII, retention), document data assets, and enable self-service analytics. Partner with Data Engineering, Applied Analytics, and Data Governance to operationalize standards and support BI, analysts, and AI systems.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.