Top Analysis Reporting Jobs in Cincinnati, OH

Data and Analytics Consultants solve business challenges, drive data strategies, and implement solutions while collaborating across various organizational levels.

Lead and deliver large-scale customer analytics engagements for Communications, Media & Technology clients. Define strategies, develop thought leadership, communicate value of data and analytics, and drive CRM modeling, reporting, and predictive analytics delivery.

Perform comprehensive prospect research and data analysis to identify, qualify, and prioritize donor prospects. Maintain prospect data in Raiser's Edge, produce briefing materials and dashboards (Power BI/Excel), support fundraising strategy and campaign planning, and provide training and methodology improvements for Institutional Advancement staff.

Senior Informatica Developer responsible for developing, supporting, and implementing complex ETL mappings and workflows. Extract data from flat files, XML, Oracle, SQL Server and web services; build and maintain PL/SQL packages/functions; perform performance tuning; write Unix shell scripts; support data conversion and reporting; troubleshoot and respond to technical queries; work independently within the team.

The Senior Data Architect leads architecture decisions for product initiatives, modernizes analytics assets, and ensures solutions meet business objectives while aligning with enterprise standards.

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.