Top Analysis Reporting Jobs in Dayton, OH

Leads enterprise data engineering for NASIC, designing data structures, pipelines, standards, automation, and architecture. Advises senior leadership on data engineering and analytics, guides cross-functional personnel, defines business requirements, and manages projects from inception through implementation. Requires expertise in Tableau, SharePoint, business analytics, Python, SQL, ETL, Power BI, and data preparation, along with a current Top Secret clearance with SCI adjudication and U.S. citizenship.

Build and maintain large-scale data infrastructure, ETL pipelines, and cloud-native data applications for a Department of Defense platform. Design systems using Kafka, Flink, Kafka Streams, databases, Kubernetes, and related technologies. Collaborate with experienced engineers to deliver fault-tolerant, low-latency data platforms, while supporting enterprise cloud infrastructure, automation, observability, and data governance.

Design, develop, and maintain Python and SQL data pipelines, ETL workflows, database architectures, and AWS cloud integrations. Create schemas, stored procedures, documentation, testing strategies, and secure scalable data solutions. Troubleshoot data quality and performance issues, participate in Agile delivery using Jira, conduct code reviews, and guide other data engineers while collaborating with technical and program stakeholders.

Provide timely, accurate royalty and content analytics and financial reporting to support business decisions. Analyze large datasets to identify trends, anomalies, and allocation impacts; support monthly royalty reconciliation; design and automate reporting and data structures; respond to licensing and royalty inquiries; prepare analytical materials for commercial and content planning; and drive process improvements to ensure reporting integrity and operational effectiveness.

Searching for experienced candidates to join the IT Solutions Division, specializing in data analysis, analytics, and technologies like Java, SQL, and Big Data.

Provides statistical analysis, forecasting, modeling, metrics development, and performance-management support for B-2 modernization and sustainment programs. Coordinates acquisition reviews, Congressional inquiries, taskers, briefings, reports, and action-officer responses for senior Air Force leadership. Manages TMT suspense workflows, SharePoint inputs, communications across directorates and agencies, and civilian and military awards tracking. Trains action officers on TMT processes and converts complex data into actionable recommendations.

Seeking a Sr. Data Analyst with 5+ years of experience in HIE data analysis and SQL to address healthcare data challenges and management.

Collects, cleans, analyzes, and validates manufacturing data from Plex, ERP, MES, sensor, inventory, and logistics systems. Builds predictive, operational, financial, reporting, and forecasting models; develops dashboards and automated reports tracking KPIs such as yield, OEE, scrap, inventory, and shipments. Performs root cause and variance analysis, supports process improvement and budgeting decisions, maintains data pipelines, ensures inventory and COGS accuracy, and trains manufacturing personnel on data practices and dashboards.

Collects, cleans, validates, and analyzes manufacturing data from Plex, ERP, MES, sensor, and inventory systems. Builds predictive models, automated reports, and dashboards tracking KPIs such as yield, OEE, scrap, inventory, and shipments. Performs root-cause, variance, financial, forecasting, and ROI analyses to improve production efficiency, scheduling, inventory, and costs. Maintains data pipelines, supports financial reconciliation, writes work instructions, and trains manufacturing personnel on data collection and dashboard use. May work second or third shift in a manufacturing environment.

Perform operations research and simulation-driven analysis using mathematical modeling, statistics, and optimization to support AFSIM-based M&S for defense and intelligence missions. Develop experimentation procedures, run high-fidelity simulations, analyze results, and coordinate with government stakeholders to improve operational effectiveness.