Top Senior Analysis Reporting Jobs in Providence, RI

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Design, build, and optimize Snowflake-based data platform: develop ELT pipelines, data models, governance, security, performance tuning, cost optimization, CI/CD, and advanced Snowflake features. Collaborate with stakeholders, mentor engineers, and deliver scalable data solutions for analytics.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

Analyze and document claim and encounter data, write complex SQL queries and reports, perform root-cause analysis, support system enhancements, execute test scripts, and collaborate with stakeholders to deliver data-driven solutions for healthcare claims/encounters.

The Commercial Insurance Analytics Consultant leads analytical initiatives for commercial insurance, evaluates trends and risks, and makes recommendations to senior leadership while mentoring less experienced analysts.

Lead BI analytics and governance for client accounts: manage BI analysts, deliver dashboards and reports, oversee data mapping, modeling, quality, and platform initiatives (Power BI/Databricks), advise stakeholders, drive analytics roadmap, and apply advanced analytics and ML to optimize workplace and portfolio insights.

Builds and manages ETL processes and data pipelines in Azure Databricks using PySpark. Integrates data from multiple sources, tunes Spark and SQL for performance, troubleshoots pipeline failures, automates manual processes, and supports reporting and analytics to inform business decisions.

Design and deliver BI solutions by analyzing large, complex healthcare datasets. Architect MDM/identity-resolution and semantic models, untangle legacy data ecosystems, defend technical approaches to executives, influence strategy, and implement cloud/Databricks-based ETL and analytics solutions.

Lead development of internal test data tools and ecosystem to enable QE teams to discover, access, and validate test-ready data. Build and maintain SQL-driven scenarios and Python analyses, manage test data creation/modification, ensure data quality and governance, mentor junior engineers, and collaborate with stakeholders to improve automation and data visibility.