Top Data & Analytics Jobs in Dayton, OH

Analyzes legacy Air Force systems, business processes, data, and interfaces to support MRO/MRO-S integration and modernization. The role decomposes and documents interfaces, defines functional and technical requirements, creates wiring diagrams, researches legacy capabilities, and coordinates with SMEs, requirements teams, data teams, and technical stakeholders. It also supports logistics transformation, implementation planning, technical documentation, and appropriate use of AI-enabled analytical tools.

Support GEOINT and Multi-INT production at NASIC by developing structured data schemas, ensuring adherence to intelligence community standards, identifying useful data sources, and maintaining data consistency through QA/QC scripts. Collaborate with analysts, data scientists, engineers, and government stakeholders while providing technical guidance, briefings, and documentation.

Designs, develops, tests, and maintains data engineering processes, including data models, mappings, ETL pipelines, metadata structures, data quality rules, and data profiling. Analyzes source and target data, supports analytical and data science outcomes, evaluates downstream impacts, and recommends solutions. The role also requires automation, data governance, and post-deployment support using agile methodologies.

Develops and advances revenue management analytics, tools, reports, models, and processes. Partners with Marketing, Finance, and Merchandising to optimize pricing, promotions, and offer-pack architecture. Translates complex data into actionable business insights, supports strategic category initiatives, leads stakeholder communications and design sprints, prioritizes product enhancements, and enables end users. Requires strong analytical, data storytelling, stakeholder influence, change management, and business KPI skills.

Analyzes and validates Plex manufacturing data, maintains system accuracy, monitors KPIs, inventory, orders, and production-planning metrics, and prepares weekly and monthly reports. Supports Plex troubleshooting, evaluates data updates affecting MRP, tracks corrective actions, improves supply-chain procedures, and helps develop work instructions. The role also provides training, supports compliance documentation, and guides planners using production and inventory insights.

Maintains and standardizes Plex manufacturing data, monitors KPI and inventory metrics, analyzes order and supply chain performance, prepares recurring reports, supports MRP/PRP accuracy, improves data processes, develops work instructions, and tracks departmental action items and corrective measures.

Participate in the software development life cycle, including design, database and code implementation, testing, debugging, troubleshooting, documentation, and maintenance. Collaborate in Agile development meetings, write structured code, complete assigned projects, and consult with team members to achieve desired results. The role is intended for a Computer Science or related bachelor's student with strong problem-solving, critical-thinking, teamwork, and learning abilities.

Leads the business intelligence department across pricing, demand planning, commercial analytics, master data, and R&D reporting. Develops analytics strategy, scenario modeling, margin management, dashboards, data governance, and competitive intelligence. Manages and develops the BI team, drives cross-functional initiatives, and champions adoption of AI, Power BI/Microsoft Fabric, pricing platforms, and advanced analytics to support growth and profitability.

Leads the design, governance, and integration of mission-focused data ontologies, knowledge models, taxonomies, and standards. Collaborates with analysts, engineers, architects, and data owners to establish interoperable data practices, support standards adoption, and integrate models into enterprise tools and workflows. Produces monthly posture reports and guides data architecture and approval processes for intelligence data enterprises.

Analyze data and build analytical datasets, data models, dashboards, reports, and visualizations using Databricks, SQL, Python, and BI tools. Translate business requirements into reporting solutions, validate data quality, identify insights, document analytical logic, and support governance, security, lineage, and compliance. Collaborate with engineers, data scientists, architects, clients, and other stakeholders to deliver accurate, secure, and well-documented analytics solutions.