Top Analysis Reporting Jobs in Cincinnati, OH

Lead Tableau dashboard development lifecycle: translate business requirements, blend disparate data sources (Oracle, MS SQL), design and deploy dashboards, perform Tableau site admin, mentor team, promote self-service analytics, support stakeholders, and create standards and artifacts to deliver high-quality visualizations on schedule.

Design, develop, and maintain Power BI BI solutions: build data models, create reports and dashboards, write DAX and Power Query transformations, query and integrate data with SQL, apply data warehousing/ETL principles, optimize performance, document solutions, troubleshoot issues, and collaborate with stakeholders.

As a Data Engineer, you'll create and maintain data pipelines, optimize data architecture, and support analytics tools for performance insights.

Manage and steward enterprise master data, metadata, reference and content/document management systems. Maintain the metadata repository, create training and documentation, support data governance councils, assess non-technical impacts of policy changes, ensure compliance, and support standardized reporting and MDM strategy and processes.

Design and build SAP HANA information models (attribute, analytic, calculation views); convert business requirements and KPIs into technical blueprints; configure metadata import and SAP Data Services; validate reports against ECC; perform testing (unit, integration, system, UAT); create analytics privileges, mappings, schemas, and SQL-based functions; present and demo reports to business users.

Provide administration and technical leadership for Informatica domains (PowerCenter, Data Quality, Metadata Manager, B2B, Test Data Management, Grid). Gather requirements, analyze impacts, manage deployments, monitor environment stability, ensure data integrity, manage backup/DR, administer security and user privileges, and implement automation/DevOps practices.

Lead design and build of Qlik Sense data discovery, dashboards, and visualizations. Create ad-hoc analyses, define UI/navigation and KPIs, ensure data continuity, and develop visualization tools for complex datasets. Drive data loading strategies and reporting across functions.

The role involves designing and developing Master Data Management structures, customizing MDM solutions, and performing unit testing while ensuring efficient data integration and management processes.

Create and validate complex datasets for AI benchmark tasks, including files with malformed records, missing data, truncations, and inconsistent formatting. Define correct final states, write detailed grading rubrics, and assess AI outputs for accuracy and completeness. The role requires exceptional attention to detail, error detection, format reconciliation, accurate documentation, and clear asynchronous communication in regulated or audit-sensitive contexts.

Build and scale distributed data pipelines and architectures supporting AI products and research. Responsibilities include processing large datasets with Spark, designing AWS data systems, managing SQL and NoSQL storage, writing Python and SQL, ensuring data quality and reliability, and implementing automation, orchestration, monitoring, and scalable data operations.

Annotate, label, review, and validate audio and video samples according to project guidelines. Identify and correct errors, document annotation decisions, resolve questions with project teams, meet accuracy and deadline requirements, and provide feedback to improve annotation workflows. Strong English communication, attention to detail, organization, and quality control are essential; familiarity with data-labeling tools is advantageous.

Leads customer analytics, revenue and retention reporting, executive and board reporting, renewal variance analysis, capacity modeling, customer health scoring, churn prediction, and data governance. Partners with Finance, Sales, Revenue Operations, Product, and Customer leadership to standardize SaaS metrics, improve retention, forecast revenue, and translate complex datasets into strategic recommendations and executive-ready dashboards.