Senior Analytics Specialist to support the Defense Logistics Agency Troop Support Clothing and Textiles supply chain. This high-priority Key Personnel role leads advanced analytics initiatives that produce actionable insight for demand and supply planning, inventory, budgeting, IT, finance, process improvement, and mission readiness.
Why this role mattersDLA Clothing and Textiles must anticipate demand, manage product transitions, allocate constrained inventory, and respond quickly to changing Warfighter and industrial-base conditions. This role uses predictive and prescriptive analytics to identify risks, improve decisions, and deliver customer-centered analytical products that DLA teams can understand and use.
What you will do- Lead or supervise advanced-analytics initiatives addressing strategic and tactical objectives across multiple supply-chain disciplines.
- Develop predictive and prescriptive analytics using advanced statistical techniques to support planning, budgeting, IT, financial, inventory, and general supply-chain improvements.
- Work with stakeholders across domains to define analytical objectives, collect and process data, produce outputs, measure impacts, and deliver results in customer-centered formats.
- Lead large-scale analytics projects from solution development through deployment using existing IT infrastructure, enterprise data, and analytical tools.
- Identify emerging data sources and analytics opportunities that improve customer support or mission readiness.
- Develop analytical frameworks, models, dashboards, and visual products that simplify complex analyses and enable customer self-service.
- Support demand-planning modernization, forecast improvement, inventory-risk identification, workload management, performance tracking, and supply-planning decisions.
- Coordinate analytics with JDA, EBS, SAP, EDW, SAS, and other DLA planning and data environments.
Required qualifications- An undergraduate degree in Computer Science, Statistics, Engineering, Economics, Business, Applied Mathematics, or a related field.
- At least eight (8) years of DoD JDA experience.
- At least eight (8) years of relevant professional and practical experience in supply-chain and/or operations analytics; alternatively, a master's degree plus four (4) years of relevant experience.
- An advanced professional certification in SAS or R.
- Demonstrated ability to lead advanced analytics and large-scale integrated solution-development or deployment initiatives.
- An active IT-II clearance or a favorably adjudicated NACLC at proposal submission, plus the ability to satisfy DLA IT-II privileged-access and CAC requirements.
Preferred qualifications- Ten or more years leading supply-chain, analytics, and process-transformation projects across multiple DLA Major Subordinate Commands or DLA Headquarters.
- Ten or more years of leadership experience with DLA EBS, JDA, EDW, SAS, and other DLA data and analytic systems.
- Ten or more years mining DLA data, developing analytical models, and managing multiple predictive-analytics techniques supporting DLA strategic objectives.
- Eight or more years implementing and configuring JDA for DLA organizational clothing, individual equipment, and recruit-planning strategies.
- Eight or more years leading DLA Clothing and Textiles strategic initiatives relevant to the PWS.
- Experience providing senior-leadership oversight of multiple DLA projects of similar scale and complexity.
