Top Senior Data & Analytics Jobs in Cleveland, OH

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Design, build, and operate end-to-end data pipelines and curated compliance datasets powering transaction monitoring, KYC/EDD, and screening. Ensure data quality, lineage, and audit readiness; partner with Compliance and Engineering to improve detection signal quality, define metrics, and deliver repeatable reporting and measurement frameworks for control effectiveness.

Lead strategic vision and execution of GitLab's data platform and analytics capabilities, focusing on AI-enabled self-service analytics and data governance.

Lead a team to design, build, and deliver enterprise data warehouse and BI solutions. Develop data models, dashboards, automation, and performance metrics using Power BI, SQL, and modern cloud data platforms. Partner with stakeholders, security, and leadership to govern data, drive analytics initiatives, and present insights to executives.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

Lead reporting and analytics for BSA/AML/OFAC and fraud investigations: source, analyze, and visualize complex data; deliver regulatory reports; automate reporting; manage data pipelines; mentor teammates; and collaborate with stakeholders to drive data quality and analytics strategy.

Design, build, and maintain production ETL/ELT pipelines, analytics-ready data models, and cloud data infrastructure. Improve pipeline performance, data quality, governance, and migrate legacy systems to modern platforms. Collaborate with stakeholders to translate business requirements into reliable data products for project, financial, and operational analytics.

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.

Senior leader responsible for strategy, architecture, and execution of enterprise data engineering. Build and lead a 10-15 person team, design scalable data platforms and pipelines (cloud-native), drive governance, ensure AI/ML-ready data, manage delivery, vendors, SLAs, and M&A integration.

The Senior Data Architect leads architecture decisions for product initiatives, modernizes analytics assets, and ensures solutions meet business objectives while aligning with enterprise standards.