Top Remote Data & Analytics Jobs

As a Senior Data Architect, you'll design and implement data infrastructure, ensuring data quality and collaborating across teams to optimize data integration and analytics for clients.

The Principal, Volume Forecasting will lead the end-to-end forecasting process, utilizing data-driven models and AI tools to influence strategic decisions, manage stakeholder input, and analyze market impacts on demand.

Responsible for assessing and improving data quality. Collaborates with developers to implement data logic, conducts quality reviews, and communicates issues to resolve data quality problems. Provides support to ETL teams and manages customer requirements throughout the project lifecycle.

As a Senior Business Analyst, you will oversee UiPath automation projects, gather requirements, document processes, and collaborate with stakeholders and developers to ensure successful project delivery.

The Supervisor of Analytics Reporting position involves monitoring model performance, developing reports, providing mentorship, and utilizing analytical tools to drive business decisions. Responsibilities include data extraction, reporting on KPIs, and leading the analytics team to achieve business objectives.

The Senior Credit Risk Analyst will develop credit policies, manage portfolio profitability, and create risk assessment models while collaborating with teams to enhance credit products.

The Senior Software Engineer designs and builds data products for genomics research, creating data pipelines, ensuring compliance, and collaborating with R&D teams.

The Sr. Director of Enterprise Measurement will lead performance measurement strategy, ensuring metrics are standardized and integrated within decision-making processes across teams, driving growth and actionable insights.

Lead analytics and data science for underwriting transformation, focusing on forecasting, insights, and metrics for pricing and risk management.

As a Senior Clinical Data Engineer, you'll oversee clinical data lifecycles, manage data integrity, collaborate with project teams, and optimize data management processes for clinical trials.