Top Remote Data & Analytics Jobs

The Senior Analyst will support VPP infrastructure and business performance by analyzing data, building dashboards, and providing strategic insights across teams.

The Business Intelligence Analyst will develop interactive Tableau dashboards, partner with internal teams to translate business needs into data insights, and ensure data accuracy and integrity.

The Data Engineer will create innovative solutions for data management, implement and maintain data pipelines, ensure data quality, and collaborate with various teams to support business processes in healthcare.

Lead bioinformatics strategy and development of NGS ctDNA-based MRD assays, offering technical leadership, mentorship, and ensuring compliance with regulatory standards while collaborating with various teams.

Lead the architecture and development of data ecosystems and analytics capabilities, optimizing data products for customer insights and decision-making.

The Sr. Data Analyst (Operations) will translate business problems into measurable analytics, lead projects, manage stakeholders, and develop dashboards using SQL and Tableau to improve operations.

The Sr. Data Analyst Sales will provide strategic insights, develop analytical solutions, and manage stakeholders to improve sales performance. They will use SQL and Tableau to create dashboards and maintain data integrity.

The Senior Product Data Analyst will lead analytics projects, providing strategic insights into SaaS product usage and customer behavior, while collaborating with various teams to drive business outcomes and improve product features.

The Ecommerce Data Analytics Manager analyzes pricing, profitability, and marketing performance to optimize revenue and improve decision-making across the ecommerce business.

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.