Top Data & Analytics Jobs in Providence, RI

Design, build, and maintain secure, scalable cloud-native data platforms (lakehouse/data mesh) supporting batch, streaming, ML, GIS, and operational workloads. Lead ingestion/transformation pipelines, implement distributed/event-driven processing (Spark/Kafka), enforce governance, observability, and SLAs, and mentor engineers while partnering with data scientists and stakeholders.

Design and analyze experiments, write production Python code, build reporting and analytics tools, and translate data science analytics into product features to optimize Connected TV ad campaigns.

Lead strategic initiatives in Internal Audit, integrating AI and technology, optimizing processes, managing staffing programs, and aligning with business objectives.

Analyze large payment datasets to detect fraud, build and maintain risk scoring models and automated detectors, lead investigations, optimize payment flows, and produce executive risk reporting to protect the platform and support responsible gaming.

Analyze IVR journeys and large-scale contact center call data to identify containment and routing issues, transform and model datasets, produce dashboards and concise data-backed insights, validate speech vs DTMF performance, track IVR KPIs, and collaborate with architects, engineers, and product teams to optimize IVR architecture and customer experience.

Own the validation lifecycle: translate data quality requirements into clear deterministic rule specifications, maintain the validation catalogue, monitor and tune controls, perform first-pass anomaly detection and RCA support, and collaborate with Product, Technology, and Data Owners to ensure scalable, testable, and maintainable data quality controls.

The Data Analyst will collect, analyze, and visualize data to support business decisions while collaborating across teams and utilizing various data analysis tools.

The Data Analyst 2 supports the Nordstrom Product Group by designing and building LookML data models to provide insights, improve decision making and drive business value.

Design, build, and operate cloud-native data platforms and scalable pipelines using Snowflake and dbt. Lead orchestration, CI/CD, observability, and performance tuning. Collaborate on backend services and limited frontend work, mentor engineers, define modeling standards, and participate in multi-team architecture and system design.

Support the migration of financial and procurement systems from SAP ECC to S/4 HANA, focusing on user enablement, training, and data readiness.