Top Senior Data & Analytics Jobs in Cleveland, OH

Lead enterprise data discovery, inventory, classification and governance initiatives. Evaluate and run POCs for tools (OneTrust, BigID, Varonis, Cyera, Delphix, RecordPoint, Collibra, Microsoft Purview). Conduct stakeholder workshops, assess classification accuracy, security, scalability, integrations, and metadata flow. Produce recommendations, feasibility assessments, roadmaps, and support Collibra integration.

Develop and maintain Microsoft SQL Server databases (2008/2012) using advanced T-SQL to write stored procedures, views, and triggers. Build and deploy SSIS packages and SSRS reports. Perform database administration, performance tuning, security, and use SQL Profiler and Visual Studio Data Compare. Work collaboratively within a team.

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.

Delivers financial and operational reporting, dashboards, forecasting, variance analysis, and profitability insights for Financial Services clients. Uses SQL, Power BI, and Excel to validate data, identify anomalies, support client implementations, and improve reporting processes. Partners cross-functionally with accounting, operations, analytics, FP&A, vendors, and leadership while maintaining data governance, documentation, and reporting standards.

Build and maintain production data pipelines that transform robot logs and telemetry into reliable, queryable datasets. Design Spark-based ETL workflows, orchestrate processing with Airflow or similar tools, manage gold-layer datasets, and implement data quality, schema evolution, monitoring, and metadata practices. Collaborate with robotics, hardware, reliability, analytics, and ML teams on data modeling, fleet insights, debugging, and root-cause analysis. The role may also contribute to Python, Java, or C++ libraries supporting data capture and consumption.