Top Senior Analysis Reporting Jobs in Providence, RI

Lead analytics work translating complex healthcare data into decision-ready insights. Own KPI definitions, Snowflake data marts with dbt, executive dashboards in QuickSight, and cross-functional analyses to inform strategy, product, and operations.

Lead fraud detection efforts by analyzing data, developing detection methods, collaborating with teams, optimizing fraud rules, and monitoring performance metrics.

The Senior Analytics and Insights Manager partners with GTM teams to drive data-driven decisions, providing insights, KPIs, and fostering collaboration for improved performance and strategy execution.

The Senior Data Analyst will provide high-quality analytics and insights for business strategies, automate reporting, and collaborate across teams to transform data into actionable insights.

Lead Data Warehousing/Business Intelligence projects, focusing on DataStage and Oracle PL/SQL development. Requires extensive experience in design, architecture, and ETL processes, particularly in financial domains.

The Staff Analyst will optimize platform performance using analytics, develop predictive models, present findings to stakeholders, and mentor junior analysts.

The Senior Analyst, Workday Financials serves as the expert for Workday Financial Management, enhancing configurations, compliance, and feature adoption across financial operations.

The Senior Systems Analyst collaborates with stakeholders to gather and analyze business requirements, translating them into actionable plans and user stories, while managing product backlogs and ensuring delivery meets expectations.

This Senior Actuary role focuses on leading strategic initiatives, conducting financial analysis, developing methodologies, and influencing cross-functional teams to optimize health care programs.

Serve as a clinical subject-matter expert to design, develop, and deploy production-grade data and analytic solutions detecting fraud, waste, and abuse. Bridge clinical, data, and technology teams; support data governance, interoperability, NLP/AI/ML, and build clinical business rules and analytics for enterprise use.