Top Senior Analysis Reporting Jobs in Dayton, OH

The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.

The Lead Implementation Specialist is responsible for data integration, reporting, and visualization, ensuring compliance, facilitating client support, mentoring, and driving continuous improvement in data processes.

Lead revenue assurance: monitor and audit billing pipelines, build data pipelines and models (Databricks, Python, SQL), detect and prevent revenue leakage, run experiments, define metrics, and partner cross-functionally to protect and optimize subscriber revenue at scale.

Lead design and delivery of large-scale data pipelines and warehouse systems. Define technical strategy, enforce data governance, improve developer efficiency, mentor engineers, and align data engineering efforts with business goals to enable analytics and ML at scale.

Design, optimize, and scale Snowflake-based data architecture and pipelines. Implement data observability, operationalize MLOps, build semantic enterprise models, and deploy AI-assisted agents and automation for production analytics and commercial data products. Share cross-functional ownership for pipeline resilience, monitoring, and model lifecycle management.

Own slide-grade analytics for PE and executive audiences by transforming Salesforce and BI outputs into polished board packs, causal commentary, reusable templates, and executive narratives. Attribute pipeline variance, produce funnel and revenue analytics, train client teams, and ensure deliverables are modular, PE-ready, and maintainable across engagements.

Lead analytics engineering: design scalable dimensional models, build modular tested transformations, replace brittle pipelines with reusable patterns, drive semantic layers and self-service analytics, partner on data architecture, and provide cross-functional technical leadership and governance.

The Data & Analytics Leader will develop a multi-year roadmap to enhance data governance and analytics capabilities, while fostering a data-driven culture throughout ERAC.

Design, build, and maintain cloud-based big data platforms, pipelines, and tools. Lead scrum teams, implement CI/CD and IaC, apply TDD/BDD, mentor peers, and deliver reliable data processing, quality, and governance solutions to solve risk-related business problems.

Lead web analytics strategy and implementation: define measurement, maintain data pipelines, support 1P data integrations, troubleshoot tagging/pixel/API issues, create documentation and playbooks, translate analytics for stakeholders, and drive continuous improvement and AI-assisted automation.