Top Senior Analysis Reporting Jobs in Cleveland, OH

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Own supervisory data quality and governance for Federal Reserve supervision platforms. Serve as the subject matter expert for examination data, define quality rules and monitoring metrics, resolve data issues, support metadata and data cataloging, and advance data lifecycle, policy, access management, and future AI-readiness initiatives. Partner with business, IT, and executive stakeholders while translating business needs into technical requirements and communicating data management concepts to diverse audiences.

Plans and performs data quality assessments, audits, and investigations to verify data integrity, completeness, compliance, and appropriate structure. Develops manual and automated testing methods, documents standards and procedures, prepares findings reports, and supports data governance, master data management, data modeling, warehousing, ETL, profiling, and cleansing activities.

Lead the redesign and modernization of a legacy database system for a financial services client. Analyze existing architecture, design scalable data models and schemas, optimize tables and stored procedures, implement governance and security controls, and ensure performance, auditability, and regulatory compliance. Partner with stakeholders in an Agile environment, support iterative development, and mentor team members on database modeling best practices.

Develops enterprise business intelligence solutions, including data preparation workflows, dashboards, reports, visualizations, and analytics. Partners with stakeholders to translate requirements into actionable insights, ensures data quality and governance, documents processes, and coordinates contract resources across concurrent projects. Uses Alteryx, Tableau Prep, Power BI, and Tableau to deliver scalable reporting and measurable business value.

Sources, prepares, validates, and analyzes data to produce business intelligence reports, analytical datasets, automated processes, and insights. Collaborates with business and technology partners to define needs, improve reporting workflows, and communicate findings. Uses queries, data visualization, automation, and predictive analysis techniques while mentoring junior staff and supporting data governance and compliance.

Serve as the bridge between developers, functional analysts, and business stakeholders. Configure Adobe Experience Platform and Customer Journey Analytics data connections, data views, metrics, and dimensions. Define business requirements, build dashboards and reporting solutions, manage project workflows in Jira, and translate technical configurations and data insights for technical and non-technical audiences. The role requires strong analytics experience and may involve Adobe Journey Optimizer, cloud analytics platforms, and consulting experience.

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.