{"id":923954,"url":"https://alion.io/job/sierra-space-sr-data-analyst-supply-chain-management","title":"Sr Data Analyst- Supply Chain Management","company":{"id":58801,"name":"Sierra Space","domain":"sierraspace.com","url":"https://alion.io/company/sierra-space","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":31,"ghost_share":0,"stale_share":0.871,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Louisville, United States","Centennial, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":128648,"max":176891,"currency":"USD","period":"year","gross":null,"usd_annual":176891},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"AI Agents","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"CircleCI","optional":true},{"name":"Copilot","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"GitLab CI","optional":true},{"name":"Hadoop","optional":true},{"name":"Jenkins","optional":true},{"name":"Looker","optional":true},{"name":"Microsoft Excel","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"RAG","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-02T03:29:25Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"Sierra Space Careers:\nAt Sierra Space, we build the missions and systems that keep our world secure in the domain above Earth.\nSierra Space team members share a spirit of innovation and collaboration and a belief that we can deliver on the boldest missions in space today. Together with our customers, we aim to safeguard our nation, sustain human presence in space, and secure the freedom of operations in low Earth orbit and beyond.\nOur success is measured by the trust of those who rely on what we build and deliver, and our technologies keep the United States and its allies mission-ready throughout space.\nWe are mission-driven, and together, we are an extraordinary team.\nAbout the Role\nThe Lead Supply Chain Data Scientist will drive advanced analytics and data science initiatives to optimize supply chain operations, with a focus on Materials Requirements Planning (MRP) system accuracy, inventory optimization, and production scheduling. This role combines deep supply chain domain expertise with advanced statistical modeling, machine learning, and AI capabilities to transform complex datasets into actionable business insights. The position requires both technical excellence in data science and strategic leadership in supply chain analytics.About You\nOur mission is driven by an unyielding commitment to advancing space-based technology in service of our customers and safeguarding national security. We seek individuals who are passionate about innovating beyond boundaries and relentlessly pursuing solutions that protect, preserve and empower - to join us in this critical mission.\nWe’re looking for team members who align with our values, mission and goals - while also meeting the minimum qualifications below. The preferred qualifications are a bonus, not a requirement.\nKey Responsibilities\nStrategic Analytics & AI Leadership\n\nDevelop and execute analytics strategies aligned with business and supply chain objectives, translating complex data into actionable insights\n\nApply advanced statistical and machine learning techniques to analyze complex supply chain datasets\n\nDevelop and scale Generative AI and Agentic AI capabilities, including copilot, RAG, and workflow automation solutions for supply chain applications\n\nDrive technical strategy, best practices, AI governance, and adoption of enterprise AI capabilities\n\nGenerate actionable insights from data analysis to support strategic business decisions\n\nProvide data insight to support and improve processes to enhance service quality, efficiency, and customer satisfaction\n\nSupply Chain Performance & Analytics\n\nDevelop, manage, and maintain key supply chain performance and financial metrics, including on-time delivery, supplier quality, Purchase Order projections, Goods Receipt projections, Purchase Price Variance trend, and Excess & Obsolescence trend\n\nDevelop and maintain a Supply Chain Metrics platform for use by leadership at multiple levels of the organization\n\nSupport the Sales, Inventory, and Operations Planning (SIOP) process by compiling, analyzing, and presenting supply chain data to cross-functional stakeholders\n\nMonitor and report on inventory levels, identifying trends, risks, and opportunities for optimization\n\nUtilize AI/BI tools to analyze MRP outputs (planned orders, exception messages) and perform what-if simulations to forecast material shortages or excesses\n\nMRP System Strategy & Optimization\n\nConfigure, maintain, and optimize MRP parameters (e.g., safety stock, lot sizes, lead times, safety time) within the ERP system (SAP) to maximize service levels while minimizing inventory investment\n\nOwn the accuracy, performance, and optimization of the Materials Requirements Planning system\n\nAnalyze large datasets to identify bottlenecks in replenishment and production scheduling\n\nData Quality, Governance & Technical Excellence\n\nEnsure data accuracy, completeness, and consistency across supply chain systems and reporting platforms\n\nComprehensive understanding of IT systems, software development data, CI/CD, engineering, and business processes\n\nStrong understanding of database environments and upgrades\n\nUtilize SQL, Python, R, PowerBI, and other analytics/data platforms to manipulate large datasets, perform root cause analysis, and automate reporting\n\nCross-Functional Leadership & Collaboration\n\nPartner with supply chain, manufacturing, procurement, quality, and engineering teams to solve complex business problems\n\nServe as the primary liaison between Procurement, Production, Business Development, and IT to align MRP strategies with customer demand and capacity planning\n\nCollaborate with engineering teams to operationalize solutions using modern cloud and MLOps platforms\n\nProcess Improvement & Innovation\n\nIdentify opportunities for automation, system integration, and process optimization to improve MRP efficiency and decision-making speed\n\nIdentify areas for improvement, develop improvement plans, and lead implementation thereof\n\nProven track record of process improvement and implementation\n\nTeam Leadership & Mentorship\n\nMentor, coach, and manage a team of analysts, data scientists, or planners\n\nProvide thought leadership across analytics and AI initiatives\n\nMay supervise, mentor, and/or coach other business systems analysts\n\nMinimum Qualifications\nBachelor's degree in Supply Chain Management, Business Analytics, Data Science, Operations, Engineering, Statistics, Computer Science, or a related field (or equivalent work experience in lieu of degree; Masters degree with 6+ years of experience also qualifies)\n\nTypically 8+ years of progressive experience combining:\n\nMaterial planning, production planning, or supply chain analytics\n\nData science, statistical modeling, and machine learning applications\n\nFocus on system optimization and process improvement\n\nStrong experience with SAP MRP and advanced data visualization tools (Power BI or similar tools)\n\nAdvanced Excel skills (modeling, VBA) and SQL knowledge to extract and manage data\n\nExpertise in programming languages such as Python, R, and SQL\n\nComprehensive understanding of IT systems, software development data, CI/CD, and business processes\n\nStrong understanding of database environments and upgrades\n\n Preferred Qualifications\nAdvanced degree (Masters or PhD) in Data Science, Statistics, Operations Research, Industrial Engineering, Supply Chain Management, or related field\n\nTechnical Skills - Advanced\n\nExperience with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn\n\nStrong knowledge of statistical analysis and data mining techniques\n\nExperience with big data technologies such as Hadoop, Spark, and Kafka\n\nFamiliarity with data visualization tools such as Power BI, Tableau, or Looker\n\nExperience with cloud-based data platforms such as AWS, Azure, or Google Cloud\n\nStrong understanding of CI/CD pipelines and tools such as Jenkins, GitLab CI, or CircleCI\n\nExperience with version control systems like Git\n\nExperience with MLOps platforms and model deployment best practices\n\nCertifications\n\nAPICS CPIM (Certified in Production and Inventory Management) or CSCP (Certified Supply Chain Professional) certification is highly desirable\n\nLeadership & Domain Expertise\n\nProven track record of leading analytics initiatives and driving measurable business impact\n\nExperience in supervising, mentoring, and coaching other analysts and data scientists\n\nDeep understanding of supply chain operations, inventory management, and production planning principles\n\nExperience with Sales, Inventory, and Operations Planning (SIOP) processes\n\nCompensation:\nPay Range:\n$128,648.00 - $176,891.00Your actual base compensation will be determined on a case-by-case basis and may vary based on job-related knowledge and skills, education, experience, internal equity and market competitiveness.\nElevate Your Career\nAt Sierra Space, we are committed to your personal and professional development. We empower you to make profound and meaningful contributions and foster a vibrant culture of collaboration, where teamwork ignites breakthrough innovations.\nWe also offer a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, and more.\nSierra Space is an industry-leading space and defense technology company providing satellites, spacecraft, and enabling mission systems and components. We deliver mission-proven technologies to our customers that safeguard our nation, protect space-based assets and enable space exploration.\nApplication Deadline: This role will remain posted until a qualified pool of candidates is identified.\nPlease note: Sierra Space does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to Sierra Space team members not through our approved vendor list or Talent Acquisition will be considered property of Sierra Space, and we will not be obligated to pay any referral fees.\nSierra Space Corporation is an equal opportunity employer and is committed to working with and providing reasonable accommodations to applicants with disabilities. 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