Top Data & Analytics Jobs in Providence, RI

Build and maintain scalable data pipelines and Python automations for ingesting, processing, and enriching data. Integrate SaaS sources via APIs, use Databricks/PySpark/Delta Lake and AI tools to power lead generation, enrichment, deduplication, and entity resolution. Collaborate cross-functionally to translate business needs into automated, production-ready solutions.

Design, build, and maintain ingestion and transformation pipelines for a knowledge-graph analytics platform. Profile and prepare structured and semi-structured source data, ensure data lineage and traceability, implement transformation logic for graph loading, collaborate with data scientists on graph modeling and entity resolution, improve pipeline reliability, and document ingestion patterns using version control and issue tracking.

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The Senior Product Analyst will oversee product analytics projects, collaborating with teams to develop KPIs, conduct A/B testing, and provide data-driven insights to enhance decision-making.

The role focuses on providing analytics services to game studios, including A/B testing, revenue analysis, and data contextualization for decision-making.

Support review of source inventories and cross-reference authoritative port/waterway datasets; design and implement geodatabases and attribute schemas; produce and validate polygons, run topology checks, develop metadata and source lineage, document discrepancies, and support QA and incremental production deliveries.

Lead analysis of business processes, gather and document requirements, design and implement system solutions, support deployments, and create reports/dashboards. Collaborate with stakeholders and IT to improve systems, provide user training, and perform post-implementation reviews to enhance performance and efficiency.

Lead enterprise data ownership and governance to align customer experience with information architecture. Develop data usage frameworks, business rules, quality thresholds, and movement authorizations. Direct data stewards, analysts, and architects; prioritize remediation, support data integration and analytics, and guide development of data warehouse, data marts, and reporting solutions to support healthcare enrollment and billing operations.

Lead embedded analytics for a core business area (growth, product, AI, or partnerships). Define problems, build metrics, run analyses and experiments, deliver insights and recommendations, and drive outcomes end-to-end with stakeholders.