Top Senior Data & Analytics Jobs in Providence, RI

Design, build, and operate secure, scalable cloud-native data platforms (lakehouse/data mesh) supporting batch, streaming, ML, GIS and operational workloads. Lead ingestion/transformation pipelines, distributed processing (Spark/Kafka), data governance, observability, and mentor teams while ensuring compliance in regulated environments.

Design, build, and optimize Snowflake-based data warehouses and dbt transformation pipelines. Develop scalable ETL/ELT ingestion, tune SQL and warehouse performance, implement data quality/testing (dbt tests), and maintain CI/CD and version-controlled data workflows while collaborating with analysts, data scientists, and stakeholders.

Lead enterprise-wide data architecture strategy and delivery, including data modeling, integration, governance, security, and cloud platform adoption. Partner with executives and business units to align data roadmaps, evaluate emerging technologies (including Gen-AI), mentor architecture and engineering teams, and ensure scalable, secure, high-performance data solutions across the organization.

This role involves writing user stories, supporting agile team processes, and driving customer discovery to enhance technology solutions for clients.

Embedded, senior technical engineer who designs and builds AI-ready, cloud-native data architectures using Alteryx One and major cloud data platforms. Convert analytics workflows into production solution patterns, deliver pilots-to-production quickly, enable partner-led delivery, and create documentation and playbooks for scalable deployments.

The role involves designing and owning the architecture of a workforce intelligence platform on Snowflake, leading architectural decisions, and ensuring compliance for a Marketplace listing.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

The Senior Manager is responsible for global forecasting processes, enhancing predictive analytics, providing commercial insights, and improving revenue performance through data-driven decision support and collaboration with cross-functional teams.

The Actuarial Specialist produces analyses, manages projects, and oversees team workload to enhance actuarial processes in the organization, ensuring business growth and profitability.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.