Top Senior Analysis Reporting Jobs in Cleveland, OH

Lead SAP BODS developer to coordinate with IT, business and onshore/offshore teams. Must have 5+ years SAP BODS experience including upgrades, strong BO development (Universes, WebI, InfoView), solid SQL skills, and excellent communication. Banking/financial domain experience preferred. 12-month engagement.

Administer and support Teradata environments: install/configure/upgrade software, backup/restore/migrate data, monitor and optimize performance, implement security, maintain documentation and standards, and support load utilities and release deployments across multiple Teradata systems.

Lead enterprise data architecture and governance, design data integration and warehouse solutions, establish standards for modeling/metadata/security, evaluate emerging technologies, collaborate with stakeholders, mentor staff, and ensure scalable, high-performance analytical environments.

Develops and manages enterprise business intelligence products, including semantic models, governed definitions, metadata, dashboards, and AI-assisted analytics capabilities. Translates complex business needs into measurable analytic solutions, advises stakeholders, supports adoption and training, and manages product lifecycle, quality, performance, and business impact. Partners with product managers and business leaders to prioritize work, manage risks, communicate value, and guide less experienced team members.

Lead a Supply Chain Analytics center of excellence to deliver analytics, BI reporting, data pipelines, and dashboards. Manage cross-functional projects, mentor analysts and contractors, define data improvement roadmaps, and enable data-driven supply chain planning decisions.

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.

Own Step’s analytics data models, transformation pipelines, metric definitions, semantic layer, and data quality practices. Partner with Product, Marketing, Engineering, Risk, Growth, and Finance to establish trustworthy data foundations and enable self-service analysis. Build reusable query, visualization, and code components; apply AI-augmented workflows; and collaborate with data scientists, analysts, and platform engineers. The role requires strong SQL, modeling, pipeline, BI, communication, and independent ownership skills, with occasional travel for team onsites.

Conducts econometric, causal, statistical, and optimization analyses to improve operational efficiency, resource allocation, product performance, and business outcomes. The role defines efficiency measures, develops forecasting and optimization tools, partners with product and engineering teams on data instrumentation and implementation, and communicates findings to executives through clear reports.

Develop and maintain ETL pipelines, data integration workflows, backend services, and optimized database operations. Build scalable Java and Spring Boot applications, write complex SQL, implement validation and error handling, perform unit testing, troubleshoot pipeline and application issues, and support production deployments. Collaborate with data engineers, developers, QA teams, and business stakeholders while documenting processes and following software development best practices.

Owns lead and hotel account data quality for a sales organization. Responsibilities include CRM audits, deduplication, enrichment, lead qualification, routing, SLA development, escalation resolution, data workflow documentation, vendor evaluation, SQL-based validation, and responsible use of AI for quality assurance and anomaly detection.