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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst (Mid) - **Company:** PAI Industries, Inc. - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Access, Microsoft Excel, Business Analytics Applications, Data Analysis, Big Data, Spreadsheets, Information Systems, Databases, Power BI, Microsoft SharePoint, SQL Databases, SC Clearance, Data Analytics, Data Management, Powerapps - **Published:** June 4, 2026 - **Apply:** https://pai-inc.com/careers/data-analyst-mid ## About the Role * 5+ years professional experience performing data analysis, logistics analysis, maintenance analysis, engineering analysis, cost analysis, business analysis, or program analytics. * Advanced proficiency with Microsoft Excel and data management tools. * Experience collecting, organizing, analyzing, and reporting large data sets. * Strong analytical, organizational, written, and verbal communication skills. * Secret Clearance. Preferred Qualifications * Bachelor's Degree in Engineering, Statistics, Data Analytics, Business, Logistics, Information Systems, Mathematics, or related discipline. * Experience supporting aircraft carriers, naval ships, shipyards, maintenance activities, modernization programs, or lifecycle sustainment efforts. * Experience supporting logistics planning, maintenance planning, readiness assessments, Integrated Logistics Support (ILS), Refueling Complex Overhaul (RCOH), or lifecycle management activities. * Experience with Power BI, Power Apps, SharePoint, Access, SQL, or related analytical tools. * Experience supporting Navy, Department of Defense, or Federal organizations., The ideal candidate is an experienced analyst with strong analytical skills and the ability to transform complex maintenance, logistics, modernization, cost, schedule, readiness, and performance data into actionable recommendations supporting Navy lifecycle management decisions. The successful candidate will possess experience working in dynamic program environments and have the ability to communicate analytical findings to both technical and non-technical stakeholders. ## Description Position Overview: PAI is seeking a Data Analyst to support the Program Executive Office for Aircraft Carriers (PEO Carriers), PMS 312 and PMS 368, by providing analytical support, assessments, reporting, forecasting, and recommendations supporting aircraft carrier lifecycle management activities.This position supports Integrated Logistics Support (ILS), Refueling Complex Overhaul (RCOH), and Inactivation (INACT) programs through the analysis of maintenance, logistics, modernization, cost, schedule, readiness, and performance data used to support planning, execution, and lifecycle sustainment decisions., * Retrieve, organize, validate, and analyze maintenance, modernization, logistics, schedule, and readiness data from Government databases and information systems. * Support lifecycle management analysis associated with aircraft carrier sustainment, modernization, logistics readiness, maintenance planning, and availability execution. * Develop and maintain reports, dashboards, metrics, forecasts, trends, and analytical products supporting Government decision-making. * Analyze maintenance, modernization, logistics, cost, labor, schedule, and performance data to identify trends, risks, opportunities, and recommended courses of action. * Perform data quality assurance and quality control reviews of Government databases and information repositories. * Develop presentations, reports, spreadsheets, charts, metrics, and executive-level analytical products. * Support lifecycle planning, modernization planning, maintenance forecasting, logistics planning, and readiness assessments. * Respond to Government data calls, information requests, and analytical tasking. * Coordinate with Government personnel, shipyards, logistics organizations, technical stakeholders, and contractor team members. * Support the development of recommendations that improve lifecycle sustainment, maintenance execution, logistics readiness, and program performance. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems)