Senior Data Analyst

Key Responsibilities

• Lead advanced data analytics, statistical modeling, data mining, and predictive decision-support activities for AMCOM SCMD.
• Design, build, and deploy advanced analytical models to forecast supply demand, asset failure rates, repair turnaround times, and inventory requirements.
• Develop interactive business intelligence dashboards, executive visualizations, and reporting tools using Power BI, Tableau, and custom analytics software.
• Perform complex data extraction, cleaning, transformation, and validation across massive, disparate Army logistics and enterprise data sources.
• Apply statistical techniques, regression analysis, machine learning algorithms, and operations research methodologies to solve complex supply chain challenges.
• Analyze supply chain cycle times, data processing bottlenecks, error rates, and system compliance IAW contract AQL standards (<3% error rate, >95% turnaround).
• Collaborate with Senior Logistics Analysts to translate operational supply chain queries into mathematical models and data science solutions.
• Evaluate supply chain risk factors, readiness impacts, and mitigation strategies using predictive data simulation.
• Automate recurring data extraction, reporting processes, and performance metric tracking to enhance analytical efficiency.
• Develop technical documentation, statistical reports, trend analysis products (CDRL A009), and briefing decks for military and civilian executives.
• Provide technical direction, code review, mentorship, and guidance to junior program/data analysts.
• Ensure data handling complies with DoD cybersecurity directives, CUI protocols, AR 25-2, and Army information assurance standards.
• Coordinate with internal software developers to integrate analytical algorithms into custom web applications and decision-support tools.
• Participate in technical working groups, Army AI/ML initiatives, and enterprise data architecture discussions.

Required Qualifications

• Bachelor's degree in Data Science, Operations Research, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7 or more years of professional experience in data analytics, data science, or statistical modeling.
• 3 or more years of experience applying data analytics within a supply chain, logistics, or defense operational environment.
• Demonstrated expertise in data mining, statistical analysis, predictive modeling, and machine learning techniques.
• Advanced proficiency with visualization tools (Power BI, Tableau) and quantitative programming tools (Python, R, SQL).
• Strong capability to communicate complex mathematical and analytical findings to non-technical executive stakeholders.
• Ability to mentor and provide technical oversight to supporting junior data analysts.
• Must possess or be eligible to obtain and maintain a SECRET security clearance eligibility.

Preferred Experience