Senior Data Analyst (Supply Chain Management)

Sierra Space Corporation; Louisville (KY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical Coverage

Dental Coverage

Vision Coverage

401K Profit Sharing Plan

Professional Development / Educational

Job summary

Sierra Space Corporation in Louisville, KY seeks a Lead Supply Chain Data Scientist to drive advanced analytics for MRP accuracy, inventory optimization, and production scheduling.

Combine supply chain expertise with statistical modeling, ML, and AI to transform complex data into actionable insights and govern enterprise AI initiatives. Collaboration across functions is essential to success.

Qualifications

• Bachelor's degree or higher in a relevant field.
• Proven track record in data science applied to supply chain.
• Experience with SAP MRP and ERP data.
• Strong programming in Python/R and SQL.
• Experience with ML frameworks and big data.

Responsibilities

• Lead analytics strategy for supply chain and AI initiatives.
• Develop MRP optimization and production scheduling insights.
• Build and maintain metrics dashboards and reporting.
• Mentor analytics team and collaborate cross-functionally.
• Ensure data quality and governance across systems.

Skills

Python

R

SQL

Power BI

Machine Learning

Data Science

MLOps

SAP MRP

Cloud Platforms

Data Visualization

Education

Bachelor's degree in a relevant field

Master's degree in a related field

APICS CPIM/CSCP certification desirable

Tools

SAP MRP

Power BI

TensorFlow

PyTorch

scikit-learn

Hadoop

Spark

Kafka

AWS

Azure

GCP

Jenkins

GitLab CI

CircleCI

Git

Job description

• The 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

Strategic Analytics & AI Leadership:

• Develop and execute analytics strategies aligned with business and supply chain objectives, translating complex data into actionable insights
• Apply advanced statistical and machine learning techniques to analyze complex supply chain datasets
• Develop and scale Generative AI and Agentic AI capabilities, including copilot, RAG, and workflow automation solutions for supply chain applications
• Drive technical strategy, best practices, AI governance, and adoption of enterprise AI capabilities
• Generate actionable insights from data analysis to support strategic business decisions
• Provide data insight to support and improve processes to enhance service quality, efficiency, and customer satisfaction

Supply Chain Performance & Analytics:

• Develop, 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
• Develop and maintain a Supply Chain Metrics platform for use by leadership at multiple levels of the organization
• Support the Sales, Inventory, and Operations Planning (SIOP) process by compiling, analyzing, and presenting supply chain data to cross-functional stakeholders
• Monitor and report on inventory levels, identifying trends, risks, and opportunities for optimization
• Utilize AI/BI tools to analyze MRP outputs (planned orders, exception messages) and perform what-if simulations to forecast material shortages or excesses

MRP System Strategy & Optimization:

• Configure, 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
• Own the accuracy, performance, and optimization of the Materials Requirements Planning system
• Analyze large datasets to identify bottlenecks in replenishment and production scheduling

Data Quality, Governance & Technical Excellence:

• Ensure data accuracy, completeness, and consistency across supply chain systems and reporting platforms
• Comprehensive understanding of IT systems, software development data, CI/CD, engineering, and business processes
• Strong understanding of database environments and upgrades
• Utilize SQL, Python, R, PowerBI, and other analytics/data platforms to manipulate large datasets, perform root cause analysis, and automate reporting

Cross-Functional Leadership & Collaboration:

• Partner with supply chain, manufacturing, procurement, quality, and engineering teams to solve complex business problems
• Serve as the primary liaison between Procurement, Production, Business Development, and IT to align MRP strategies with customer demand and capacity planning
• Collaborate with engineering teams to operationalize solutions using modern cloud and MLOps platforms

Process Improvement & Innovation:

• Identify opportunities for automation, system integration, and process optimization to improve MRP efficiency and decision-making speed
• Identify areas for improvement, develop improvement plans, and lead implementation thereof
• Proven track record of process improvement and implementation

Team Leadership & Mentorship:

• Mentor, coach, and manage a team of analysts, data scientists, or planners
• Provide thought leadership across analytics and AI initiatives
• May supervise, mentor, and/or coach other business systems analysts

Benefits

• Medical Coverage: We offer two comprehensive medical plans, a PPO and an HDHP, designed to prioritize the well-being of our team members
• Dental Coverage: HMO and PPO dental plans are aimed at promoting optimal oral health and reducing costs
• Vision Coverage: Our vision plan offers access to a wide range of in-network and out-of-network providers
• Flexible Spending Accounts: Maximize savings and use pre-tax dollars to pay for medical and dependent care expenses
• Health Savings Account: This tax-advantaged savings account allows team members to set aside pre-tax funds to cover qualified medical expenses
• Life and AD&D Insurance: Comprehensive Basic and Supplemental Life and Accidental Death and Dismemberment (AD&D) insurance offers financial protection to your family
• Disability Insurance: Short-term and long-term disability insurance provides wage replacement should you suffer a disability that prevents you from working
• 401K Profit Sharing Plan: Employees may contribute 1% to 100% of base salary up to the annual IRS maximum. Employer match provided with a 5-year vesting schedule
• Employee Assistance Program: Confidential service available 24/7 that provides assessment, counseling, resources and referrals to employees
• Professional Development / Educational Reimbursement Plan: Reimbursement for undergraduate and graduate tuition, books and fees.

• The position requires both technical excellence in data science and strategic leadership in supply chain analytics
• Data science, statistical modeling, and machine learning applications
• Focus on system optimization and process improvement
• Bachelor’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)
• Material planning, production planning, or supply chain analytics
• Typically 8+ years of progressive experience combining:
• Strong experience with SAP MRP and advanced data visualization tools (Power BI or similar tools)
• Expertise in programming languages such as Python, R, and SQL
• Advanced Excel skills (modeling, VBA) and SQL knowledge to extract and manage data
• Comprehensive understanding of IT systems, software development data, CI/CD, and business processes
• Strong understanding of database environments and upgrades
• Advanced degree (Masters or PhD) in Data Science, Statistics, Operations Research, Industrial Engineering, Supply Chain Management, or related field
• Technical Skills - Advanced
• Strong knowledge of statistical analysis and data mining techniques
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn
• Experience with big data technologies such as Hadoop, Spark, and Kafka
• Familiarity with data visualization tools such as Power BI, Tableau, or Looker
• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud
• Strong understanding of CI/CD pipelines and tools such as Jenkins, GitLab CI, or CircleCI
• Experience with version control systems like Git
• Experience with MLOps platforms and model deployment best practices
• APICS CPIM (Certified in Production and Inventory Management) or CSCP (Certified Supply Chain Professional) certification is highly desirable
• Certifications
• Leadership & Domain Expertise
• Proven track record of leading analytics initiatives and driving measurable business impact
• Experience in supervising, mentoring, and coaching other analysts and data scientists
• Deep understanding of supply chain operations, inventory management, and production planning principles
• Experience with Sales, Inventory, and Operations Planning (SIOP) processes