Top Analysis Reporting Jobs in Cincinnati, OH

Supports the development and maintenance of analytics engineering solutions, including data models, dbt transformations, Snowflake queries, Fivetran integrations, Power BI semantic models, dashboards, and reporting. Performs data validation, reconciliation, testing, documentation, pipeline monitoring, and troubleshooting. Collaborates with technical and business stakeholders to translate requirements into reliable analytics solutions, improve data quality, automate processes, and support scalable business intelligence across finance, sales, operations, and technology.

Design, build, and optimize scalable data pipelines and platform components supporting analytics and AI/ML. Own complex engineering initiatives, resolve performance and production issues, improve governance and reliability, and contribute to infrastructure-as-code and CI/CD practices. Provide technical leadership through architecture guidance, code reviews, mentoring, documentation, and cross-functional collaboration. Support cloud data platforms, lakehouse architectures, curated datasets, feature stores, and streaming data access.

Leads data quality assessments, root-cause analysis, governance execution, control monitoring, and improvement initiatives across commercial banking processes. Partners with business, technology, and governance stakeholders to clarify data ownership, identify risks, prioritize issues, and deliver practical recommendations. Independently manages analytical workstreams, communicates findings, supports control effectiveness evaluations, and serves as a subject matter resource while guiding less experienced analysts.

Supports business intelligence reporting and data needs using Power BI, SQL Server, SSAS, DAX, T-SQL, ETL processes, and JD Edwards data. Prepares reports, dashboards, extracts, and analytics; maintains existing BI solutions; handles support tickets; troubleshoots routine data and ERP issues; validates and translates ERP data; and escalates complex architecture, integration, security, and performance issues.

Leads the design, implementation, and support of a near-real-time transactional cache platform. Builds CDC pipelines from UniVerse to PostgreSQL, transforms data into optimized MongoDB models, and supports API-serving workloads on GCP. Owns performance, reliability, observability, incident response, monitoring, and operational support. Provides technical leadership, establishes engineering standards, drives modernization, collaborates with application teams, and mentors engineers across data platform initiatives.

Supports data gathering, analysis, reporting, dashboard development, process improvement, requirements documentation, solution testing, data cleanup, project tracking, and ad hoc analysis. Collaborates with senior analysts and business stakeholders to provide insights, validate solutions, maintain data integrity, and support business decisions.

Administer Microsoft Dynamics 365 CRM, develop Power BI dashboards and data models, integrate data across business systems, and establish data governance practices. Partner with cross-functional teams to define metrics, deliver actionable insights, automate workflows, improve business processes, maintain data quality, and support technology initiatives and system enhancements.

Supports enterprise master data applications by gathering and managing business, functional, and technical requirements across MDM, PIM, and DAM platforms. Leads stakeholder elicitation sessions, documents user stories, process flows, wireframes, acceptance criteria, and business rules, and partners with technical teams on solution decisions. Coordinates functional, integration, and user acceptance testing, including defect management, while aligning technical and non-technical stakeholders on priorities and approvals.

Leads decision support and data analysis projects, translating business requirements into reporting applications and analytical solutions. Develops complex programs using SAS, R, SQL, and database technologies; models data sources and flows; creates analytical methods and performance measures; interprets statistical results; and presents recommendations to stakeholders. Mentors colleagues, supports data governance and security frameworks, and consults with internal and external business partners.

Develops and governs Salesforce reports, dashboards, and commercial analytics supporting pipeline management, forecasting, revenue visibility, opportunity tracking, and executive decisions. The role investigates data discrepancies, maintains reporting governance, improves data quality, enables self-service analytics, supports Salesforce adoption, and identifies automation and AI-readiness opportunities. It partners with Sales, Finance, Product, Engineering, and leadership to translate business needs into scalable reporting solutions.