Top Remote Data & Analytics Jobs

Lead end-to-end measurement, experimentation, and optimization of engagement programs. Design A/B and multivariate tests, analyze funnels and cohorts, own reporting and dashboards, validate data pipelines, and translate insights into strategic recommendations for clients and executives.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

The Senior Analyst leads content production and analysis for materials reports, focusing on semiconductor process gases, while mentoring junior analysts and engaging with stakeholders.

Lead data engineering initiatives to design and deploy data infrastructure. Optimize data warehouses and automate reporting, ensuring data accuracy and governance.

Manage the pricing data infrastructure for the Siding & Accessories division, focusing on SQL Server management, data flow integration, and platform migrations such as PriceFx and Boomi. Oversee operational data quality, collaborate with business partners, and lead a small team.

Analyze product performance metrics and user behavior to drive insights for product improvements. Collaborate with teams to develop reporting practices, A/B tests, and dashboards to inform strategy.

The Head of Lottery Data Engineering & Data Warehousing leads the strategy and delivery of the lottery data platform, ensuring quality, compliance, and efficiency in data processing and storage across jurisdictions and products.

The Principal SAS Programmer leads programming for clinical trial data, creates datasets and documentation, monitors milestones, and coordinates team efforts.

The Staff Solution Architect leads architectural decisions in fintech, driving projects from design to implementation, ensuring compliance and collaboration across teams while addressing technical challenges and risk management.

The Senior Data Engineer will create data models, build data pipelines, mentor team members, and communicate with clients while optimizing ETL processes on cloud platforms.