Top Remote Data & Analytics Jobs

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

As the GTM Engineer, you'll build Mento's revenue systems, automate workflows, clean data, and collaborate with sales and marketing teams to drive revenue growth.

The Senior State Product & Pricing Manager will design and launch homeowners insurance products, leading strategy, regulatory filings, technology requirements, and performance evaluation in catastrophe-exposed markets.

The Associate Director, Data Strategy will establish and deliver a comprehensive data strategy for rare diseases, partnering with stakeholders to manage data sourcing, governance, and reporting, while ensuring alignment with business priorities.

The Senior Data Engineer will scale and evolve the data platform, develop ETL/ELT pipelines, establish best practices, and optimize systems for performance while collaborating with various teams.

The Lead Data Analyst will analyze data to inform product decisions, support project work, design dashboards, guide team members, and improve reporting processes.

The Senior Technical Analyst collaborates with stakeholders and engineers to document requirements, ensure quality, and support SDLC activities, while being a trusted advisor on solution design and process impacts.

As a Credit Risk Senior Analyst at Marqeta, you'll lead underwriting strategies, refine credit policies, conduct risk analyses, and present findings to senior management.

The Data Analyst will deliver automated reporting, analyze complex data sets, support client output formats, and enhance data governance processes.

The Data Engineering Manager will lead the design and implementation of data ingestion frameworks, ensuring data quality and integration with governance tools. Responsibilities include mentoring staff, defining data contracts, and establishing best practices in data engineering.