Top Senior Analysis Reporting Jobs in Providence, RI

Design, build, and optimize scalable batch and streaming data pipelines. Model and process structured and unstructured data, ensure production reliability and observability, apply ML techniques for insight extraction, and drive data strategy while adopting modern tooling and IaC practices.

Partner with cross-functional teams to design experiments, analyze large datasets, build dashboards and metrics, identify trends and customer behaviors, improve data quality and instrumentation, and provide actionable recommendations that drive strategic decisions and operational improvements.

Designs, develops, and delivers BI and analytics solutions (reports, dashboards, data marts, cubes). Analyzes requirements, architects data structures, mentors junior staff, evaluates BI/visualization technologies, and supports production troubleshooting and stakeholder communication.

Lead design and implementation of large-scale data platforms and pipelines using Redshift, ADF, Hadoop/Hive, Spark/Scala, Snowflake, Databricks, and GCP. Drive architecture decisions, performance tuning, and best practices for big data processing and storage.

Build and own data platform infrastructure and scalable pipelines (ingestion, orchestration, transformation, delivery). Define governance, observability, and AI-first architecture. Optimize performance, ensure data quality, mentor engineers, and integrate AI-assisted tooling.

The Senior Data Engineer will maintain and improve data infrastructure, design ETL processes, and create high-performance pipelines for analytics and AI initiatives using SQL and Python in cloud environments.

As the Director of Analytics, you'll lead analytics for MyPrize, optimizing performance across teams, developing reporting tools, and informing data infrastructure.

The Associate Director, Solutions will lead a client-facing team at YipitData, responsible for delivering bespoke analysis and data products, managing client experiences, and leveraging AI for operational efficiency.

This role involves conducting advanced data analysis to drive strategic decisions, defining metrics, collaborating with teams, and improving performance through insights.

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.