Top Senior Data & Analytics Jobs in Providence, RI

Responsible for translating marketing performance into business impact, providing insights for campaign metrics, monitoring channel performance, and collaborating with cross-functional teams to enhance business strategy.

The Senior Fraud Strategy Analyst will design and optimize fraud strategies, monitor performance, develop metrics, and collaborate with teams to enhance fraud detection.

Lead and grow a software engineering team focused on RISC-V software ecosystem, collaborating with teams to establish RISC-V as the standard.

The Senior Analyst will support product engineering efforts by analyzing digital solutions, enhancing user experiences, and collaborating across teams to deliver insights and improvements.

Lead the design and operation of Twilio's ML and data platform, architecting cloud-native pipelines and implementing MLOps best practices while mentoring engineers and collaborating across teams.

The Senior Analytics Specialist develops processes for digital optimization and collaborates on A/B and multivariate testing through data insights.

Design, build, and maintain data lakes, data warehouses, and end-to-end data pipelines for a multi-tenant SaaS platform. Lead code and design reviews, write infrastructure-as-code, optimize performance and scalability, participate in data governance, mentor junior engineers, evaluate new technologies, automate tests, collaborate cross-functionally, and join on-call rotation to ensure reliable data delivery.

Lead forecasting, capacity planning, and workforce insights for customer experience operations. Build and backtest forecasting models, maintain dashboards (Tableau, Databricks, Five9, Verint, Excel), manage vendor forecasts, perform scenario modeling, and deliver executive recommendations to align staffing with service and cost goals.

The Senior Data Engineer designs and maintains data infrastructure, creating scalable data pipelines and ensuring data quality while collaborating with cross-functional teams.

Lead analytics for law firm operations by writing advanced SQL and Python/R scripts, building executive dashboards, standardizing KPIs, analyzing case lifecycle metrics, identifying bottlenecks, and delivering actionable recommendations to drive capacity planning and process improvements.