Top Analysis Reporting Jobs in Providence, RI

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

The Data Governance Analyst administers data governance platforms and processes, including enterprise data catalogs, Databricks Unity Catalog, metadata, lineage, data stewardship, MDM, privacy compliance, and data quality initiatives. The role leads catalog roadmaps, supports Osano, coordinates with data owners and engineering teams, monitors governance adoption and metrics, and develops scalable governance standards and procedures.

Leads PBM data integration programs involving claims, eligibility, accumulator, and encounter data. Profiles, maps, validates, and reconciles data using advanced SQL; investigates production issues; designs scalable healthcare integrations; coordinates vendors, engineering, testing, UAT, migration, and deployment readiness; and manages timelines, risks, dependencies, and executive reporting. The role also maintains documentation and operational procedures while directing day-to-day integration work.

Manage the creation and maintenance of online product content across business areas. Gather product specifications and technical information from suppliers and internal teams, upload high volumes of data into Pimberly, and maintain accuracy. Produce product data reports to identify incomplete records, prioritize high-revenue products, and improve online product availability.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Build and maintain branch network performance reporting, dashboards, semantic models, and analytical datasets using SQL and Alteryx. Translate banker, branch, market, and enterprise data into actionable insights for senior leaders. Lead analytical projects, manage timelines, communicate executive-ready findings, improve reporting processes, and mentor junior analysts. Partner with Distribution and Consumer Bank leadership in a hybrid, primarily onsite environment.

Supports employee benefits analysis, reporting, data entry, validation, client deliverables, and documentation. Learns benefits plans, compliance requirements, carrier operations, funding arrangements, and cost management. Assists benefits analysts, service, and sales teams by researching client data, identifying trends and discrepancies, maintaining records, and participating in client and internal meetings. The internship provides exposure to insurance brokerage operations and may lead to full-time employment.

Analyzes retail pharmacy and payer data to support strategic decision-making and identify growth opportunities. Develops executive presentations, recurring reports, and complex analytical solutions using SQL, Python, Snowflake, Palantir Foundry, Excel, and PowerPoint. Partners with stakeholders, coordinates initiatives, communicates recommendations, and streamlines reporting through automation.

Build and operate a large-scale enterprise data platform spanning batch and streaming processing, lakehouse storage, Kafka infrastructure, APIs, observability, and agentic MCP interfaces. Develop reusable ingestion and data-quality frameworks, improve scalability and resilience, establish engineering practices, support production operations, and mentor engineers. The role requires deep ownership of distributed data infrastructure and practical use of AI coding agents.