Top Data & Analytics Jobs in Dayton, OH

Analyze IVR caller behavior using SQL and Excel, build Tableau reports to visualize trends, collaborate with stakeholders to improve IVR user flows, and provide data-driven recommendations to enhance caller experience.

Analyze conversational call flows and large datasets to optimize IVR and generative AI systems. Perform call testing, annotation, dashboard monitoring, and deliver data-driven insights and presentations to improve self-service, reduce agent handling, and enhance customer experience.

Analyze complex pharmaceutical transaction data, build forecasts and custom models, create dashboards and reports, identify trends and actionable insights, implement data quality/observability and process improvements, communicate technical specifications to stakeholders, mentor junior team members, and support cross-functional product and client initiatives while ensuring regulatory compliance (including HIPAA).

Analyze complex pharmaceutical transaction data to build forecasts, models, dashboards, and actionable insights. Partner with stakeholders to design data models, automate processes, ensure data quality and compliance (HIPAA), debug issues, document requirements, mentor juniors, and translate technical specifications for business users.

Lead media analytics for Marriott Media Network by designing measurement methodologies, running A/B tests and MMM, analyzing audience and campaign performance, translating data into executive-ready insights, and partnering cross-functionally to optimize monetization and media strategy.

Senior finance-focused data analyst responsible for owning finance, accounting, and revenue data pipelines; building forecasts, scalable SQL transformations, repeatable dashboards, and analytics; delivering accurate reports and insights to stakeholders including C-suite; ensuring QA, documentation, and cross-functional collaboration to drive actionable recommendations.

Perform advanced quantitative analyses, build and maintain dashboards and automated reports, collaborate across teams to drive data‑driven decisions, lead process improvements, and mentor junior analysts.

Lead design, build, and operate real-time, Flink-based streaming data platforms. Develop low-latency, stateful pipelines, enforce event schemas/contracts, ensure fault tolerance and observability, mentor engineers, and partner with architecture and compliance teams to deliver resilient streaming solutions for banking use cases.

Design, build, and maintain scalable, secure data pipelines and platforms to acquire, transform, and store large financial datasets. Enable AI/GenAI-ready data foundations for model training, inference, retrieval, and RAG workflows. Collaborate with cross-functional teams, ensure data quality, governance, observability, and compliance, and support production deployments and troubleshooting.

Lead graph data engineering to design, implement, and scale Neo4j-based graph platforms. Build graph models, ingestion pipelines (batch and streaming), integrate graphs with analytics/ML, establish governance, and enable graph-driven business use cases like fraud detection and Customer 360.

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.

Own triage and resolution of address-related issues across sales and marketing. Analyze large geographic datasets, build automated monitoring tools and dashboards, report on address database health, and collaborate with engineering and operations to drive data-informed fixes and improvements.

Perform deep quantitative analyses, build and maintain BI dashboards and automated reports, partner across functions to deliver data-driven recommendations, identify process improvements, and mentor junior analysts to improve reporting, data quality, and operational performance.

Develop, enhance, and support Synchrony’s metadata management and cataloging platform (Ab Initio Metadata Hub). Collaborate with governance, engineering, and analytics stakeholders to ensure metadata quality, lineage, and discoverability; design solutions, implement platform changes, test, document runbooks, and enable cloud and AI/ML metadata use cases.

Lead digital measurement analytics for servicing platforms: design/validate data collection, build reporting and feature measurement, collaborate with stakeholders, mentor team members, and drive analytics roadmap and actionable insights.