Top Senior Analysis Reporting Jobs in Providence, RI

Maintain and enter manufacturing data in the ERP (JDE), run and monitor maintenance reports, identify and document discrepancies, coordinate cross-functional resolution, and support process standardization and auditability.

Design, build, and maintain data preparation workflows and BI dashboards. Partner with stakeholders to gather requirements, transform and cleanse data (Alteryx/Tableau Prep), create reports in Power BI/Tableau, ensure data integrity/security, document processes, and deliver actionable insights to support strategic decisions.

The Senior Digital Marketing Analyst develops strategies for digital engagement, analyzes campaign data, builds dashboards, and collaborates with teams to enhance marketing efforts and customer experience in healthcare.

Lead Data Warehousing/Business Intelligence projects, focusing on DataStage and Oracle PL/SQL development. Requires extensive experience in design, architecture, and ETL processes, particularly in financial domains.

Lead design, development, and maintenance of Power BI dashboards and self-service analytics. Translate stakeholder requirements into clear visualizations, collaborate with data engineering, write and optimize SQL and DAX, ensure data accuracy and performance, document models and assumptions, apply visualization best practices, and evolve dashboards using user feedback and AI tools.

The Web Analyst Manager oversees web data analysts and manages critical web analytics projects, utilizing tools like Tealium and Omniture.

Lead the transformation from manual reporting to scalable BI solutions. Design BI standards, data models, dashboards, improve data quality and governance, work with stakeholders to embed BI into decision-making for a 12-month fixed-term contract.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

Design, build, and optimize the company lakehouse environment and ETL/ELT pipelines (Databricks/Azure/Fabric). Develop semantic models, governed metrics, data quality controls, monitoring, and CI/CD practices. Partner with business, security, and analytics teams to steward master data, implement governance and access controls, and enable reliable datasets for reporting and AI use cases.

Design, build, and optimize large-scale data pipelines, ETL processes, data models, and data warehousing solutions. Manage and tune databases (SQL and NoSQL), lead big data and cloud implementations (Snowflake, Fivetran, dbt, Airflow), apply DevOps and containerization for data workflows, and mentor junior engineers to deliver scalable data processing and actionable insights.