AMCOM - Senior Data Analyst

SOLUTION ONE INDUSTRIES•Huntsville, AL

About The Position

The Senior Data Analyst collects, validates, processes, and analyzes data from multiple sources to extract meaningful insights, identify patterns, and support decision-making for AMCOM operational, logistics, and readiness requirements. The role applies advanced data mining, statistical and causal analysis, trend analysis, machine learning, and data visualization, serving as a technical lead for monthly supply-chain support. It translates analytical methods into practical applications for operational managers and provides data-driven recommendations to improve resource allocation, mission planning, and operational execution. The position leads the development and maintenance of recurring and ad hoc reports, dashboards, scorecards, and other analytical products. It supports descriptive, diagnostic, predictive, and prescriptive analytics, develops statistical and readiness reports and operational performance metrics, and provides executive summaries, briefings, information papers, and management reports for ALC leadership. The analyst troubleshoots information-system requirements related to logistics, supply, inventory, and readiness management; supports integration between Government systems and organizational reporting tools; and assists with testing, validation, and implementation of data-management solutions. The role also evaluates business processes, recommends improvements, develops procedures and training materials, supports medical logistics readiness and sustainment analysis, collaborates with Government and organizational stakeholders, and contributes to performance measures and strategic planning. The position is contingent and requires a Secret security clearance. Work location is Huntsville, Alabama; travel may be required.

Requirements

Bachelor’s degree in data science, Operations Research, Analytics, Information Systems, Computer Science, Business Analytics, Logistics, Supply Chain Management, Mathematics, Statistics, or a related field.
At least 7 years of experience in data analysis, business intelligence, information management, logistics analysis, or related analytical disciplines.
At least 3 years of experience in supply chain.
Experience developing reports, dashboards, and analytical products using Microsoft Office applications and data visualization tools.
Ability to collect, organize, analyze, and interpret large datasets.
Strong analytical, problem-solving, and critical-thinking skills.
Ability to operate standard Army network systems, including STAMIS, LMP, GCSS-Army, APAS, IGE/GTN, i3Log, and Material Trackers.
Knowledge of data analytics principles, reporting methodologies, and performance measurement techniques.
Ability to identify trends, anomalies, and operational risks through quantitative and qualitative analysis.
Strong proficiency with Microsoft Excel, Power BI, SharePoint, PowerPoint, and other reporting platforms.
Ability to communicate technical findings to technical and non-technical audiences.
Knowledge of database concepts, data-management practices, and data-governance principles.
Ability to manage multiple projects and reporting requirements in a dynamic operational environment.
Strong attention to detail and commitment to data accuracy and integrity.
Must possess and maintain a Secret security clearance.

Nice To Haves

Experience communicating technical inventory and supply information among users, HQ AMC, AMCOM, ALC, SCMD, PEOs, other AMC Life Cycle Management Commands, DLA, other Department of War services and agencies, DoW Disposition Service, Army depots, and OEMs, or military logistics organizations.
Experience supporting understanding of Army transformation initiatives and their impact on supply operations as part of the Objective or Future Force.
Experience developing Power BI dashboards, automated reporting solutions, and executive analytics products.

Responsibilities

Collect, validate, analyze, and interpret data from multiple sources for AMCOM operational, logistics, and readiness requirements.
Provide advanced data mining, statistical analysis, trend analysis, and causal analysis, serving as a technical lead for monthly supply-chain support in accordance with CDRL A004.
Integrate multiple disciplines within an operations research team and translate analytical methods into practical applications for operational managers.
Analyze trends, performance indicators, inventory metrics, readiness data, and supply-chain information to support leadership decisions.
Conduct quality assurance reviews to ensure the accuracy, completeness, and integrity of data used for reporting and analysis.
Lead development, design, and maintenance of recurring and ad hoc reports, dashboards, scorecards, and analytical products.
Develop statistical reports, trend analyses, workload assessments, readiness reports, and operational performance metrics.
Provide data-driven recommendations to improve resource allocation, mission planning, and operational execution.
Analyze and troubleshoot information-system requirements associated with logistics, supply, inventory, and readiness management programs.
Support data integration between Government systems and organizational reporting tools.
Identify data sources, reporting methodologies, and analytical techniques that improve data collection and reporting capabilities.
Assist with system testing, validation, and implementation activities for data-management solutions.
Evaluate business processes and recommend improvements to efficiency, reporting accuracy, and operational visibility.
Assist in developing standard operating procedures, data-management guidance, user manuals, and training materials.
Support mission analysis related to medical logistics readiness, force projection, and sustainment operations.
Collaborate with logistics analysts, procurement specialists, program managers, and Government personnel to address operational challenges.
Prepare executive summaries, briefings, information papers, and management reports for ALC leadership.
Support development of performance measures and KPIs aligned with mission objectives.
Conduct research and analysis for strategic planning, operational assessments, and readiness reviews.
Provide actionable insights to enhance medical materiel visibility, asset accountability, and supply-chain responsiveness.