Sr Data Analyst- Supply Chain Management

Sierra Space Careers:At Sierra Space, we build the missions and systems that keep our world secure in the domain above Earth. Sierra 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. Our 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.We are mission-driven, and together, we are an extraordinary team.About the RoleThe 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 YouOur 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. We’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.Key ResponsibilitiesStrategic Analytics & AI LeadershipDevelop and execute analytics strategies aligned with business and supply chain objectives, translating complex data into actionable insightsApply advanced statistical and machine learning techniques to analyze complex supply chain datasetsDevelop and scale Generative AI and Agentic AI capabilities, including copilot, RAG, and workflow automation solutions for supply chain applicationsDrive technical strategy, best practices, AI governance, and adoption of enterprise AI capabilitiesGenerate actionable insights from data analysis to support strategic business decisionsProvide data insight to support and improve processes to enhance service quality, efficiency, and customer satisfactionSupply Chain Performance & AnalyticsDevelop, 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 trendDevelop and maintain a Supply Chain Metrics platform for use by leadership at multiple levels of the organizationSupport the Sales, Inventory, and Operations Planning (SIOP) process by compiling, analyzing, and presenting supply chain data to cross-functional stakeholdersMonitor and report on inventory levels, identifying trends, risks, and opportunities for optimizationUtilize AI/BI tools to analyze MRP outputs (planned orders, exception messages) and perform what-if simulations to forecast material shortages or excessesMRP System Strategy & OptimizationConfigure, 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 investmentOwn the accuracy, performance, and optimization of the Materials Requirements Planning systemAnalyze large datasets to identify bottlenecks in replenishment and production schedulingData Quality, Governance & Technical ExcellenceEnsure data accuracy, completeness, and consistency across supply chain systems and reporting platformsComprehensive understanding of IT systems, software development data, CI/CD, engineering, and business processesStrong understanding of database environments and upgradesUtilize SQL, Python, R, PowerBI, and other analytics/data platforms to manipulate large datasets, perform root cause analysis, and automate reportingCross-Functional Leadership & CollaborationPartner with supply chain, manufacturing, procurement, quality, and engineering teams to solve complex business problemsServe as the primary liaison between Procurement, Production, Business Development, and IT to align MRP strategies with customer demand and capacity planningCollaborate with engineering teams to operationalize solutions using modern cloud and MLOps platformsProcess Improvement & InnovationIdentify opportunities for automation, system integration, and process optimization to improve MRP efficiency and decision-making speedIdentify areas for improvement, develop improvement plans, and lead implementation thereofProven track record of process improvement and implementationTeam Leadership & MentorshipMentor, coach, and manage a team of analysts, data scientists, or plannersProvide thought leadership across analytics and AI initiativesMay supervise, mentor, and/or coach other business systems analystsMinimum QualificationsBachelor'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)Typically 8+ years of progressive experience combining:Material planning, production planning, or supply chain analyticsData science, statistical modeling, and machine learning applicationsFocus on system optimization and process improvementStrong experience with SAP MRP and advanced data visualization tools (Power BI or similar tools)Advanced Excel skills (modeling, VBA) and SQL knowledge to extract and manage dataExpertise in programming languages such as Python, R, and SQLComprehensive understanding of IT systems, software development data, CI/CD, and business processesStrong understanding of database environments and upgradesPreferred QualificationsAdvanced degree (Masters or PhD) in Data Science, Statistics, Operations Research, Industrial Engineering, Supply Chain Management, or related fieldTechnical Skills - AdvancedExperience with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learnStrong knowledge of statistical analysis and data mining techniquesExperience with big data technologies such as Hadoop, Spark, and KafkaFamiliarity with data visualization tools such as Power BI, Tableau, or LookerExperience with cloud-based data platforms such as AWS, Azure, or Google CloudStrong understanding of CI/CD pipelines and tools such as Jenkins, GitLab CI, or CircleCIExperience with version control systems like GitExperience with MLOps platforms and model deployment best practicesCertificationsAPICS CPIM (Certified in Production and Inventory Management) or CSCP (Certified Supply Chain Professional) certification is highly desirableLeadership & Domain ExpertiseProven track record of leading analytics initiatives and driving measurable business impactExperience in supervising, mentoring, and coaching other analysts and data scientistsDeep understanding of supply chain operations, inventory management, and production planning principlesExperience with Sales, Inventory, and Operations Planning (SIOP) processesCompensation:Pay Range:$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.Elevate Your CareerAt 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. We 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.Sierra 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.Application Deadline: This role will remain posted until a qualified pool of candidates is identified. Please 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.Sierra Space Corporation is an equal opportunity employer and is committed to working with and providing reasonable accommodations to applicants with disabilities. If you need special assistance or a reasonable accommodation related to applying for employment with Sierra Space or at any stage of the recruitment process, please contact us.SummaryLocation: Louisville, CO; Centennial, COType: Full time