Top Analysis Reporting Jobs in Cincinnati, OH

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.

Build and refine fraud rule strategies using SAS/SQL/Python and Actimize. Analyze large datasets to identify fraud trends, monitor rule performance, recommend improvements, and collaborate with cross‑functional teams to implement mitigation while balancing customer experience and compliance.

Analyze complex business metrics, create and maintain databases and reports (periodic and ad hoc), use statistical methods to summarize performance, identify anomalies, and recommend data-driven actions. Collaborate with stakeholders to define KPIs and translate business requirements into decision-support tools.

Support data and reporting needs by gathering specifications, creating data sets, operational reports, and dashboards. Collaborate with teams to translate business needs into requirements, test deliverables, analyze data for issues and opportunities, manage defects, and ensure quality and compliance throughout the data delivery lifecycle.

Lead analytics and decision-support efforts: gather and prioritize requirements, design/reporting solutions, model data flows, develop complex programs (SAS/R/SQL), define data governance and security, mentor team members, present findings to stakeholders, and lead implementation of analytical solutions.

Design, develop, and maintain enterprise data solutions and pipelines using Azure data platform and Microsoft Fabric. Support data modeling, master data management, medallion architecture, data quality, and integrations to produce trusted, scalable data for analytics and BI.

Independently validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses and reporting. Lead incident investigations, root cause analysis, test strategy, automated validation, regression and non-functional testing, data governance metrics, regulatory validation, and stakeholder collaboration to drive continuous improvement in data quality and controls.

The Senior Data Governance Analyst will manage data governance initiatives, focusing on AI-enabled outcomes, stakeholder engagement, and ensuring high-quality, well-governed data for analytics and AI.

Analyze multiple data sources, translate complex findings into actionable business insights, and communicate recommendations to cross-functional teams. The role supports Brand Management, Finance, Sales, and other partners by delivering real-time insights, influencing business decisions, solving ad hoc problems, and developing scalable analytics solutions that improve business results.

Lead portfolio analytics for Amazon Credit & Payments: define problems, source and analyze data, build dashboards, measure and optimize lifecycle and campaign performance, partner cross-functionally, and coach analytics teams to drive growth, profitability, and improved customer experience.