Top Senior Analysis Reporting Jobs in Providence, RI

The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.

Owns analytics and reporting that inform sales, merchant success, product, and fraud teams; builds business cases, pricing models, dashboards, and ROI analyses to drive merchant acquisition, expansion, and retention.

Synthesize analyses across product, marketing, reporting, and data science to create executive-ready narratives and decision materials. Partner with analytics teams and business leaders to surface high-impact insights, improve discoverability and adoption of analytics, set standards for storytelling, and ensure insights drive organizational alignment and action.

Lead growth analytics for a marketplace: partner across product, marketing, sales, and finance to identify opportunities, size impact, run experiments, maintain dashboards, and translate findings into action to move North Star metrics and OKRs.

The Senior Technical Business Systems Analyst improves collaboration and productivity by leveraging tools like Microsoft 365 and AI, optimizing systems, and driving adoption across the organization.

Leads monitoring, evaluation, and learning (MEL) for a large institutional grant across the project lifecycle. Designs MEL systems, supports proposal development, oversees data collection/quality/analysis, ensures donor compliance and readiness for reviews, facilitates learning and knowledge management, and provides technical guidance and capacity strengthening to partners and colleagues. Leverages digital tools and dashboards to improve data management and reporting.

Lead analytics for member engagement and revenue recognition: build and validate Braze attributes, run attribution and A/B test analyses, maintain Looker dashboards, join campaign and engagement data via SQL/DBT, and provide actionable recommendations to Member Operations and Marketing.

Design and scale fraud-mitigation strategies for buyer, seller, and account fraud across Stripe products. Monitor portfolios, identify and predict risky behavior, propose controls, automate workflows, collaborate with Product/Engineering/Data Science, and educate users to minimize losses while enabling growth.

Design, develop, and maintain enterprise Power BI reports, dashboards, and semantic models for healthcare, finance, and operations. Build complex DAX measures, optimize performance, administer Power BI Service (security, refreshes, gateways, deployment), establish governance, and collaborate with stakeholders to translate requirements into actionable analytics.

Lead and grow a data engineering team, set technical standards and roadmap, architect scalable GCP data solutions (ingest, transform, warehouse, serving), ensure pipeline reliability and data quality, partner with analytics and client teams, drive best practices (CI/CD, IaC, governance), and evaluate new tooling.