Top Analysis Reporting Jobs in Providence, RI

The Databricks Architect will design and implement large-scale data solutions, optimizing performance and reliability, while leading initiatives in data engineering.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

Design, implement, and maintain data governance frameworks and policies; monitor and improve data quality; classify and manage metadata; ensure privacy/HIPAA compliance; evaluate governance tools; report to stakeholders; drive process improvements and remediation.

Lead BI strategy, design and implement enterprise BI and big-data analytic solutions for healthcare clients. Facilitate design sessions, produce proposals, mentor teams, manage architecture, and deliver analytics, reporting, and DW solutions.

Lead Cognos report development: design, build and test reports in Cognos Workspace/Workspace Advanced. Analyze MIS requirements, write and tune SQL, implement BI solutions, monitor data loads and performance, resolve data integrity questions, and advise customers as a reporting SME.

QA role focused on testing ETL and BI tools (Teradata, DataStage, MicroStrategy, Cognos, OBIEE), writing complex SQL, testing visualization tools (Tableau, QlikView), coordinating QA projects, and working with CI/CD and BDD/TDD tools in a global delivery environment.

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 Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).