Top Remote Data & Analytics Jobs

Leads data analytics, automation, dashboards, AI solutions, and automated testing for internal audit, SOX compliance, investigations, and special projects. Collaborates with data engineering and architecture teams, applies governance and responsible AI principles, provides cross-functional insights, and trains audit staff on analytical tools. The role manages initiatives, budgets, resources, and deliverables while supporting audit strategy and stakeholder needs. Requires up to 10% overnight travel and hybrid work.

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 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.

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.

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.

Lead the architecture and implementation of scalable, secure cloud data platforms for Nokia’s photonic integrated circuit operations. Build high-performance batch and streaming pipelines, enterprise data models, quality and observability frameworks, DataOps automation, governance, and AI-ready data foundations. Enable trusted self-service analytics and AI-assisted exploration while leading and mentoring product engineering teams and driving technical excellence.

Leads Relation Insurance’s enterprise data engineering and analytics function, owning data strategy, architecture, pipelines, governance, quality, reporting, and AI-enabled workflows. The role requires hands-on development in SQL, Python, and PySpark, executive communication, technical team leadership, lakehouse architecture, Power BI modeling, production support, and secure data management. The director also directs AI coding agents, builds LLM-powered workflows, establishes engineering standards, and delivers reliable data products aligned with business priorities.