Top Analysis Reporting Jobs in Dayton, OH

The analyst will assist in financial forecasting, budgeting, and reporting, create financial models, and collaborate with various operational teams, ensuring informed decision-making.

Develop and optimize data pipelines for reporting and advanced analytics. Ensure data quality and create real-time processing applications. Collaborate with DevSecOps teams and enhance data management procedures.

The Business Solutions Architect I leads project-driven activities to capture business needs, define data relationships, and ensure proper documentation across initiatives, employing business analysis methods and collaborating with technical teams to streamline processes.

The Lead Marketing Business Analyst drives analytics initiatives, develops predictive models, collaborates with teams, and provides strategic insights to optimize marketing decisions and investment.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

Lead end-to-end BI projects: translate business questions into data requirements, build executive client-facing Tableau dashboards, analyze multi-source marketing data, ensure data integrity, and present actionable insights to stakeholders in a fast-paced agency environment.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

Lead measurement and data foundations translating contact center and customer feedback into quantified opportunities. Define metrics, partner with Data Engineering to build scalable data models, validate instrumentation, run impact analyses, and deliver executive-ready insights to inform product and CX prioritization and reduce cost-to-serve.

Own strategy, governance, and operations for GTM data in Salesforce. Lead data enrichment, vendor management, data movement architecture, observability, quality standards, deduplication, and lifecycle policies. Provide user support, analyze issues with SQL/SOQL, and coordinate with Data Engineering and GTM teams to ensure CRM is single source of truth.

The Data Architect will design and implement data architecture solutions using Azure Databricks, focus on data quality, and collaborate with product teams on data projects.