Top Senior Analytics Jobs in Providence, RI

Collaborate with stakeholders to analyze data and metrics, implement analytical models, and enhance data quality for business forecasting.

The Analytics Manager leads a team to deliver impactful analytics, manage the analytics roadmap, establish best practices, and synthesize complex data insights for product strategy.

The Marketing Analytics Manager role involves managing marketing performance metrics, analyzing campaign performance, and collaborating with teams to optimize marketing investments and conversions.

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

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.

This role focuses on driving data-driven decisions in Paid Media strategies by analyzing performance metrics, optimizing media investments, and collaborating with various teams to enhance customer acquisition.

Lead Advanced Analytics to support product and business leaders at Airbnb; provide data insights, recommendations, and drive analytics strategies using A/B testing and metrics design.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

The Senior Analyst in People Analytics will design and manage dashboards, analyze HR datasets, and leverage AI tools for data-driven insights, while collaborating with various teams to enhance people strategies.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.