Top Analysis Reporting Jobs in Cleveland, OH

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

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.

Owns ERP data migration from legacy systems to IFS Cloud, including extraction, profiling, cleansing, mapping, mock loads, reconciliation, cutover, and business sign-off. Establishes enterprise master data governance for items, customers, and vendors. Builds Microsoft Fabric data pipelines and Power BI models, automates validation, and maintains data quality controls. Collaborates with Finance, Operations, Supply Chain, IT, and implementation partners while documenting standards, training data owners, and supporting agile delivery.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Lead enterprise product data governance strategy, standards, ownership models, quality KPIs, and executive reporting. Drive organizational change, process maturity, continuous improvement, and cross-functional alignment across Engineering, Product Management, Supply Chain, Operations, IT, and Data Management. Support Windchill adoption, MBOM expansion, ERP readiness, and Digital Thread transformation while improving data quality, accountability, adoption, and business outcomes.

The Business Intelligence Engineer designs, builds, deploys, and supports BI solutions, data marts, analytics platforms, ETL processes, dashboards, and reports. The role develops SQL queries, stored procedures, functions, and views; resolves data quality issues; troubleshoots PostgreSQL, BigQuery, and BI tools; documents data mappings and systems; supports business stakeholders; and mentors peers. The position also improves data accuracy, integrity, security, and platform performance while following the software development life cycle.

Lead the design and delivery of governed enterprise data products on Google Cloud. Build scalable batch and incremental pipelines, optimize BigQuery workloads, develop Dataform transformations, and automate deployments through Terraform and GitLab CI/CD. Implement secure API integrations, data-quality controls, monitoring, reconciliation, and governance documentation. Partner with data, platform, technology, and business teams while mentoring engineers and establishing reusable data engineering standards.

Analyzes marketing performance, ROI, attribution, segmentation, cohorts, and testing across channels. Builds dashboards and reports, ensures data quality and lineage, partners with engineers and vendors on marketing data pipelines, and translates findings into strategic recommendations. Uses AI tools, SQL, statistical analysis, and business intelligence platforms to support demand generation, lifecycle marketing, and executive decision-making while maintaining privacy and regulatory compliance.

Leads a team responsible for Oracle BI administration, architecture, development, data warehousing, and global ERP reporting. Provides strategic direction, manages BI implementations and projects, gathers and validates requirements, improves reporting processes, evaluates Oracle technologies, and guides SQL and PL/SQL development. The role also supports stakeholder collaboration, training, presentations, cross-functional leadership, and up to 25% domestic and international travel.

The Senior Business Analyst gathers requirements, analyzes business processes and data models, develops functional and technical specifications, configures systems, and supports testing and training. The role evaluates third-party solutions, maintains system documentation, monitors performance metrics, and recommends process and technology improvements. It partners with developers, data analysts, testers, and business stakeholders to deliver effective systems and enhancements.