Top Analysis Reporting Jobs in Cleveland, OH

Analyze underwriting and claims data to set rates, prepare statistical analyses and filings, project loss trends, support product development, and present findings to stakeholders to inform pricing strategy.

The Senior Data Analyst supports U.S. Housing analytics by extracting and validating data, developing SQL queries and data models, and building Power BI dashboards and reports. The role partners with business, Product, Technology, and Engineering stakeholders to deliver analyses, recommendations, and scalable reporting solutions. Responsibilities include data quality assurance, ad hoc analysis, documentation, self-service analytics, and exploring AI-assisted workflows. The position requires strong SQL, Power BI, DAX, communication, and analytical skills.

Designs, builds, and maintains scalable data pipelines and warehouse solutions. Responsibilities include data collection, cleansing, validation, quality assurance, ETL, integrity audits, documentation, anomaly resolution, and technical requirements analysis. The engineer develops SQL-based solutions, Tableau reporting, AWS cloud data infrastructure, and automated testing processes while collaborating with customers and Agile/Scaled Agile teams. The role supports data-intensive research, supervision, regulation, payments, and economic analysis across the Federal Reserve System.

Build and operate governed data pipelines using Microsoft Fabric, Azure, Python, PySpark, Spark, and SQL. Implement Medallion Architecture, ingest data from APIs and enterprise systems, and develop lakehouse and Azure SQL data products supporting analytics and AI. Use Git and CI/CD for deployments, explore AI agentic workloads, and partner with architects and stakeholders to translate requirements into scalable solutions. The role requires local travel, occasional overtime and weekends, and in-person work flexibility.

Analyze account and sales representative or distributor data, track incentives, rebates, discounts, and commissions, and prepare reports, presentations, and dashboards. Collaborate with sales, finance, executives, distributors, and other stakeholders to evaluate incentive programs, identify trends, ensure accurate payments and compliance, and recommend improvements.

Administers and optimizes high-availability database environments, including SQL Server configuration, security, backup and recovery, replication, monitoring, migrations, data modeling, ETL, and data warehousing. Creates Power BI reports, supports application teams, resolves production issues, develops database policies and procedures, and provides 24-hour on-call support. Collaborates with stakeholders to translate data needs into reliable technical solutions.

Leads ERP data migration and master data governance for an IFS Cloud implementation. Responsibilities include extracting, profiling, cleansing, mapping, transforming, loading, and reconciling manufacturing, finance, supply chain, and transactional data. Builds Microsoft Fabric pipelines and Power BI models, establishes data quality standards, manages cutover readiness, supports integrations, and coaches business data owners. Requires hands-on ERP implementation experience, advanced SQL, and strong data engineering and governance capabilities.

Leads business intelligence, process improvement, automation, Power Platform, AI, and data initiatives. Partners with business leaders to improve productivity, develop dashboards and data models, implement enterprise data warehouses, deliver AI-powered solutions, and establish governance. Manages and mentors team members while driving measurable operational improvements, stakeholder adoption, and continuous innovation across manufacturing and business operations.

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.

Leads enterprise data platform engineering and architecture across OCI, GCP, and Azure. Owns the modern data and AI operating system, metadata control plane, data catalog, security model, observability, and AI infrastructure including vector databases, knowledge graphs, feature stores, and RAG pipelines. Guides platform engineering standards, modernizes legacy ETL, establishes GitOps and Data-as-Code practices, and mentors global technical teams while presenting architecture to executive stakeholders.