Top Data & Analytics Jobs in Providence, RI

Summer internship supporting Global Quality by identifying, collecting, and categorizing data; performing basic statistical analysis; designing dashboards and charts (Excel/Power BI); coordinating data collection with global Quality teams; and performing minor administrative tasks.

The Catastrophe Modeling Analyst supports catastrophe modeling, data analysis, and communication, preparing exposure data and interpreting model results to provide insights for clients. Responsibilities include monthly modeling, dashboard development, stakeholder communication, and contributing to team growth.

Implement client revenue cycle data into company systems by creating and configuring ETL processes, building data transformations and logical/physical schemas, documenting solutions in Jira, attending client meetings, and mentoring team members to ensure post-implementation data integrity.

Evaluate and rate search results in Simplified Chinese to improve search engine quality and augment AI data. Complete weekly tasks remotely (10–25 hrs/week), follow client rules and conventions, pass training and quality tests, and sign an NDA.

Lead and build PushPress's data and AI foundation: define data strategy, architect pipelines and warehousing, ensure data quality and governance, enable AI product features, deliver analytics and reporting, and hire and grow a high-performing data team.

The analyst will connect data to business issues, develop dashboards, support fraud detection systems, collaborate cross-functionally, and analyze performance for improvements.

The Lead Analytics Consultant will guide a team, define analytical strategies, optimize data processes, and collaborate with stakeholders to drive data-driven decision-making.

Lead organization-wide analytics and impact measurement, manage large cross-functional data projects, produce strategic insights and visualizations, advise stakeholders on evaluation and data practices, and help shape analytics team strategy and data infrastructure improvements.

Design and execute advanced analytics and statistical models to support revenue cycle surveillance and risk monitoring. Extract, validate, reconcile, and integrate MHS GENESIS and enterprise repository data. Develop and optimize SQL/Vertica queries, CCL/Discern extracts, dashboards (Power BI, Tableau, SAP BO), and analytic deliverables. Support backend diagnostics, incident/change management, remediation analysis, and stakeholder briefings while ensuring HIPAA and federal data governance compliance.

The Analyst, Payments Risk- Shadow Risk Monitoring conducts merchant onboarding, risk reviews, and oversight of merchant risk monitoring while communicating with internal teams and clients.