Senior Data Analyst

Who you are

• The position requires both technical excellence in data science and strategic leadership in supply chain analytics
• 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)
• Typically 8+ years of progressive experience combining:
• Material planning, production planning, or supply chain analytics
• Data science, statistical modeling, and machine learning applications
• Focus on system optimization and process improvement
• Strong 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 data
• Expertise in programming languages such as Python, R, and SQL
• 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
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn
• Strong knowledge of statistical analysis and data mining techniques
• 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
• Certifications
• APICS CPIM (Certified in Production and Inventory Management) or CSCP (Certified Supply Chain Professional) certification is highly desirable
• 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

What the job involves

• 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

The application process

• Application Deadline: This role will remain posted until a qualified pool of candidates is identified

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.