Top Senior Analysis Reporting Jobs in Providence, RI

Lead the transformation of web analytics into actionable insights, connecting customer behavior to business actions while driving optimization across digital experiences.

The Senior Product & Growth Analyst will lead the analytics behind Trust & Will's growth, focusing on conversion, retention, and lifetime value analysis. Responsibilities include building predictive models, conducting experimentation, and delivering data-driven recommendations to stakeholders. The role involves collaborating across product, marketing, and growth teams, with a strong emphasis on user behavior and funnel analysis.

The Manager, RCM Strategy & Analytics oversees analytics and insights for Revenue Cycle Management, collaborating to improve performance through data interpretation and visualization.

The Senior Catastrophe Portfolio Modeling Analyst conducts catastrophe modeling, data preparation, produces portfolio metrics, and supports event response, utilizing RMS, AIR, SQL, and Python.

The role involves utilizing data visualization tools like Tableau and Databricks for effective data representation and insights.

The role involves leading comprehensive testing of Federal Amazon Connect solutions, ensuring compliance with security standards, mitigating risks, and collaborating with cross-functional teams to deliver high-quality products.

The Staff Data Scientist will lead analytical strategies for Firefox, focusing on product growth, measurement frameworks, and mentoring data scientists while guiding data-driven decisions.

As a Senior Data Analyst, you will manage data analysis projects, develop analytical models, guide junior analysts, and collaborate with stakeholders to enhance business decisions based on data insights.

The Senior Data Analyst role involves data collection, analysis, dashboard creation, and collaboration with various teams to inform business decisions and optimize processes.

The Data Product Manager - Curation designs and manages curated data products, overseeing data modeling, governance, and partnership with analytics teams to enhance data usability and support advanced analytics, including Machine Learning.