Top Senior Data & Analytics Jobs in Dayton, OH

Perform advanced operations research and analytical studies supporting Air Force sustainment: collect/normalize data, develop models and estimates, run reports, validate statistical analyses, and produce metrics and reports using ISMT/ADIS/CIDS and Jira.

The candidate will analyze complex decision-making challenges using mathematical modeling and statistical methods, affecting military operations through simulations and optimizations.

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.

The PostgreSQL Database Administrator focuses on database performance optimization, schema design, and supports PGLite deployments for low-bandwidth operations, ensuring secure and compliant database management.

As a Data Engineer at Booz Allen, you'll analyze and visualize structured and unstructured data to derive insights, working closely with stakeholders and leveraging advanced technologies for decision-making support.

Own and improve the dbt transformation layer, semantic layer, data observability, and pipeline orchestration while migrating the platform to AWS. Ensure data quality and governance to support clinical AI, collaborate with clinical, operations, and finance stakeholders, and audit, document, and fix existing data pipelines.

Builds and manages ETL processes and data pipelines in Azure Databricks using PySpark. Integrates data from multiple sources, tunes Spark and SQL for performance, troubleshoots pipeline failures, automates manual processes, and supports reporting and analytics to inform business decisions.

Designs and develops BI solutions by analyzing large datasets, building and optimizing SQL queries, and creating data visualizations (Power BI/Tableau) to inform strategic decisions. Works independently on complex problems, influences departmental strategy, and supports healthcare-focused analytics.

Analyze, integrate, and visualize complex datasets using SQL, Snowflake, Azure and BI tools. Develop long-term data solutions, elicit and document requirements, write Agile user stories, coordinate cross-team work, ensure data quality, support incidents and implement change management.

Collect and analyze competitive intelligence and conduct due diligence and investigations on investment candidates and related entities. Design data collection methods, use research, network analysis and AI/automation tools to produce high-quality reports and actionable recommendations for senior stakeholders, and improve workflow productivity.

Lead individual-contributor who builds self-service analytics, metrics, experiments and scenario simulators to detect and mitigate fraud and safety risks. Partners with product, engineering, legal and ops to operationalize metrics, run causal analyses, and support audits, incident response, and executive reporting.

Lead marketing analytics and root-cause investigations across the B2B SaaS funnel. Maintain data integrity and dashboards, monitor integrations (Marketo, Salesforce, 6Sense, Snowflake), quantify impact of trends, and recommend corrective actions. Architect and train AI/agent-driven analytics (Ask Anything), build semantic layers in Sigma/Snowflake, validate agent outputs, and partner with Revenue Marketing and Strategy teams to drive data-backed decisions and mentor junior analysts.