Top Remote Data & Analytics Jobs in Providence, RI

The Data Specialist focuses on data quality and governance, supporting workflows across the Revenue Operations organization and collaborating with Marketing Operations. Responsibilities include managing data integrity, creating internal policies, maintaining dashboards, and supporting cross-functional initiatives.

Lead the design and architecture of production-grade data systems for reporting, focusing on data quality, performance, and engineering standards while mentoring team members.

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.

As a Senior Syndicated Data Analyst, you'll be responsible for data production, analysis, maintaining databases, and generating client reports. You'll handle multiple projects while addressing quality and efficiency issues, ensuring accurate data processing with proprietary software applications.

The Analyst, Revenue Cycle I ensures exceptional client experiences, manages Revenue Cycle operations, supports reporting and analysis, and drives process improvement initiatives.

Design, build, and validate pipelines to ingest, standardize, and publish real-world healthcare datasets (claims, EMR, registry). Perform SQL, Python, and SAS transformations, OMOP conversions, QA, and vendor communications to deliver high-quality datasets for analytics and research.

The Solutions Architect oversees project architecture and delivery, acts as a product liaison, and contributes to the professional services development for Trimble's Construction One platform.

Manage and develop a team of Data Analysts, oversee analytics deliverables, partner with cross-functional teams to deliver insights, and implement BI tools.

As a Senior Actuary, you'll lead profitability assessments, refine pricing, develop actuarial models, mentor juniors, and oversee regulatory filings.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

The Product Analyst will analyze product performance, manage workloads, document processes, support product reviews, and generate reports while collaborating with teams.

The Data Analyst will measure performance by creating metrics, dashboards, and insights to drive commercial growth and operational excellence, using SQL and Python alongside stakeholder engagement.