Top Senior Data & Analytics Jobs in Providence, RI

Lead analytics for Sales Performance Management in Business Banking by extracting, analyzing, and visualizing complex data. Deliver actionable insights, recommendations, and reports; partner with stakeholders and technical teams to build validated dashboards and drive business optimization.

Lead client engagements delivering advanced reporting, analytics, and large-scale historical data migrations into Unanet ERP AE. Design and validate complex SQL, SSRS, and Power BI solutions, mentor junior consultants, use AI-assisted tools for analysis and QA, and manage multiple projects to ensure accurate reconciliation and client outcomes.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

This role oversees the design and evolution of finance reporting solutions using Power BI, collaborating with global finance teams to create scalable analytics and insights.

The Staff Analyst will drive insights and strategies for Upstart's Personal Loans product, collaborating with multiple teams on data analysis and product optimization.

The Senior Business Analyst will support clinical program execution by analyzing data, creating dashboards, documentation, and assisting with program management.

The Sr. Incentives & Strategy Analyst will optimize and evaluate incentive programs, derive insights from data, and collaborate with cross-functional teams to support revenue strategies.

Design and implement scalable go-to-market intelligence workflows and automation. Define business requirements for reports and dashboards, partner with Product and Analytics, improve Data Cloud tool adoption, document processes, support integrations, and deliver automation-aligned pre-sales and client-facing materials.