Top Senior Data & Analytics Jobs in Providence, RI

Seeking a Strategic Analytics Manager to analyze commercial performance, quantify ROI, deliver insights, build dashboards, and enhance data integrity to drive strategic decisions. Collaborate across departments to improve data-driven outcomes and explore AI tools for efficiency.

The Revenue Strategy and Operations Manager will drive GTM transformation, manage RevOps functions, and design data-driven workflows for sales and post-sales. Responsibilities include forecasting, automation, and performance analytics with a focus on enterprise sales.

The CPQ Salesforce Consultant will implement and optimize Salesforce CPQ solutions, analyze client needs, and manage project lifecycles while collaborating with clients and team members.

The role involves building and maintaining data infrastructure for compliance analytics, ensuring reliable data processing, and collaborating with data scientists and ML engineers to support compliance functions.

The Lead FinOps Analyst will manage private cloud infrastructure economics, focusing on reducing costs and reclaiming data storage capacity through modeling and governance initiatives.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

As a Data Analytics Lead, you'll define KPIs, build data models, and develop actionable reports to support scalable analytics in a fast-growing healthtech company.

As a Business Intelligence Manager, you will lead data-driven decision-making through analytics, reporting, and data management to improve customer experience operations.

The IT HR and Incentive Compensation Business Analyst collaborates with stakeholders to define requirements, support software testing, and provide production support in an Agile environment, utilizing strong analytical skills.

The Analytics Principal will lead analytics for key client partnerships, analyze large datasets, develop insights, and mentor junior analysts.