Top Remote Data & Analytics Jobs

The Junior Data Analyst analyzes data, creates reports, maintains databases, identifies trends, collaborates with teams, and documents processes to support decision-making.

Lead design and governance of enterprise data architecture for an integrated care platform. Architect scalable Azure-based data platforms, data lakes/warehouses, ETL/ELT pipelines, and integration across EHR, Dynamics, claims, and third-party systems. Establish data governance, quality, metadata and MDM standards, ensure HIPAA/HITRUST compliance, leverage AI for system improvements, and partner with product, engineering, clinical, and business stakeholders to deliver secure, high-performing analytics and reporting solutions.

In this role, you will design data architecture, lead integration strategies, mentor engineers, and drive AI infrastructure for cross-division data systems.

The Sr. Data Engineer - Databricks designs and maintains scalable data solutions using Apache Spark and Databricks, ensuring data quality and performance for analytics and reporting.

The Senior Data Analyst will analyze digital marketing campaigns, leverage data sources for business decisions, and communicate insights effectively to improve performance and support Media Partners.

Lead alignment of technology and business strategies to improve payments reporting, forecasting, and operational planning. Build and maintain reports, dashboards, and models using BI tools and SQL, perform variance analysis, drive data standardization and quality, support migration to modern reporting platforms, and produce ad hoc analyses to inform decision-making.

Deliver strategic reporting and insights to executives and the Board; develop and track KPIs; build dashboards and visuals; perform ad hoc and project-based analyses; support forecasting, financial modeling, and data stewardship across the organization.

Lead migration to a Databricks lakehouse, design and maintain dbt medallion pipelines, improve ingestion and reliability, implement data quality and governance, build curated datasets, mentor engineers, and drive platform standards and documentation.

Lead design and delivery of large-scale quantitative and qualitative market research studies, manage client accounts, develop RFPs, mentor research managers, ensure project quality, timelines, and provide strategic recommendations and reports.

Lead and grow Mercury's data engineering team and build a resilient, governed data platform. Define architecture, tooling, semantic models, metadata, and reusable data products to enable analytics, AI, and operational systems. Drive reliability, observability, data quality, privacy, security, and regulatory compliance while partnering with Product, Engineering, Data Science, Security, and Legal to accelerate product development and decision-making.