Top Analysis Reporting Jobs in Providence, RI

The Data Engineer designs, builds, and supports ELT/ETL pipelines on Azure, ensuring reliability, quality, and collaboration with data stakeholders for analytics and reporting.

The Program Integrity Data Scientist II develops and deploys analyses for payment accuracy and fraud detection, collaborates with teams, and analyzes claims data for anomalies.

The Quality Analyst III analyzes healthcare data, generates reports and dashboards, provides data insights, and collaborates with cross-functional teams on quality performance metrics.

As Senior Director, Head of Data, you'll lead Coca-Cola's data strategy to enhance operational efficiencies, develop AI-driven solutions, and engage stakeholders.

The Data Engineer will build and scale data systems, manage data pipelines, ensure data quality, and collaborate with cross-functional teams to utilize entertainment data effectively.

As a Senior Data Engineer, you will build and maintain the data platform infrastructure, oversee data lakehouse architecture, and collaborate with product engineering to ensure reliable data delivery and adherence to data contracts.

As a Data Engineer, you'll build and support scalable data pipelines and modern analytics platforms, focusing on real-time and batch data for decision-making. Responsibilities include maintaining ETL processes, data modeling, technical writing, and advocating for reliable data systems.

The Data Quality Analyst will manage customer data migrations, ensuring accuracy and success while working with internal teams to facilitate the process. They will spend 60% of their time with clients and 40% on technical tasks like writing SQL queries and analyzing data structures.

The Staff Data Engineer will manage data governance, ETL/ELT operations, design security for reporting, and support ML workloads, while evolving a self-service reporting platform.

The Data Engineer will develop and optimize data pipelines, ensure data workflow performance, and collaborate with data teams to improve data operations and quality.

The Senior Data Scientist will focus on customer analytics, developing models for segmentation, retention, and experimentation to drive engagement and revenue decisions.