Top Remote Data & Analytics Jobs

Build and deliver Azure and Microsoft Fabric data solutions for clients. Responsibilities include developing data pipelines with Azure Databricks, Data Factory, Synapse Analytics, and Fabric; writing SQL, Python, and PySpark; supporting data integration, testing, deployments, troubleshooting, CI/CD, and infrastructure management. The role involves consulting with client stakeholders, collaborating with architects and developers, and delivering modern data platforms and reporting solutions.

Leads product analytics strategy and measurement for an enterprise AI platform. Defines KPIs, evaluates launches and product impact, integrates behavioral and employee-experience data, shapes roadmap and investment decisions, and owns executive performance narratives. Builds and coaches an analytics team while directing responsible AI-enabled workflows, dashboards, data validation, experimentation, and automated insight generation.

Lead and scale companywide analytics for a DTC marketing business: own marketing measurement, financial forecasting, retention/LTV modeling, data architecture, reporting, and the analytics team. Set analytics strategy, oversee data engineering roadmap, build dashboards, apply statistical and ML methods, and translate insights into executive-level decisions.

Analyzes healthcare claims, provider reimbursement, QPA, and dispute data to support No Surprises Act negotiations, arbitration, and OON liability management. Builds SQL-based reports, dashboards, data processes, and financial views; validates data quality; tracks dispute KPIs; integrates internal and external sources; and presents actionable recommendations to leadership and cross-functional stakeholders.

Analyzes paid media performance across the full funnel, connecting spend and platform metrics to applications, enrollment, student lifetime value, and ROAS. Builds attribution frameworks, Databricks data pipelines, Power BI dashboards, semantic models, and advanced DAX reporting. Supports marketing mix modeling, experimentation, web analytics data quality, forecasting, governance, and workflow automation. Translates complex analytics into strategic recommendations for executive and cross-functional stakeholders.

Lead analysis of sales performance, pipeline, bookings, consumption, and growth metrics for Salesforce’s Global Partnerships team. Build executive dashboards and visualizations, develop strategic recommendations, curate data tables with Data Engineering and Product, and align Finance, Product, and Operations on metrics and targets. Proactively monitor trends and communicate actionable insights to senior leadership.

Translates transport platform data requirements into technical data models, schemas, semantic layers, and warehouse integrations. Develops ERDs, data matrices, lineage documentation, transformations, and technical specifications while supporting data governance and quality. Collaborates with product experts, architects, reporting teams, and stakeholders to enable analytics and self-service reporting. Maintains data models as platforms evolve, with a focus on Blue Yonder TMS and global transport implementations.

Leads enterprise data platform architecture, engineering standards, technical decisions, and development of scalable data products. Designs batch and streaming systems, governance, observability, security, and reliability practices. Partners cross-functionally, mentors engineers, drives modernization and migrations, and establishes reusable patterns for data modeling, orchestration, quality, and platform operations.

Designs and optimizes scalable data infrastructure, including ETL pipelines, data integrations, BI solutions, validation, cleansing, workflow optimization, and troubleshooting. The role supports clinical and operational teams by integrating data from clinical systems, APIs, warehouses, and external sources while ensuring data quality and performance. Collaboration across departments and delivery of data-driven insights are key responsibilities.

Generates enterprise, market, customer, and competitive insights for Customer Solutions. Analyzes healthcare trends, customer needs, market opportunities, and competitive dynamics; builds models, forecasts, and scenario analyses; translates research and voice-of-customer data into strategic recommendations; presents executive-ready insights; and supports marketing and PMO initiatives.