Senior Supply Chain Analytics Engineer

K2 Space; Los Angeles (CA); On-site; USD 130,000 - 165,000; Full time

Benefits offered by this job

Equity

Benefits package including PTO and ins

Job summary

K2 Space seeks a data-driven Supply Chain Analytics Engineer to design, model, and optimize the analytics behind our growing supply chain. You will own accuracy and visibility, partnering with procurement, operations, finance, and engineering to meet cost, schedule, and quality targets for hardware programs.

Experts in ERP, MRP and MES data, plus experience turning complex data into actionable insights, will help drive decisions across inventory management, logistics modeling and BOM integrity

Qualifications

• 3+ years of experience in supply chain engineering, supply chain analytics or operations in a hardware or manufacturing environment.
• Strong hands-on experience pulling, cleaning and analyzing data from ERP, MRP and MES systems.
• Experience using SQL, python, and excel and at least one data visualization tool such as Tableau or Power BI for data analysis or project scheduling.
• Advanced Excel or Google Sheets skills, including complex formulas, pivot tables and data modeling.
• Solid understanding of inventory management, including min/max levels, reorder points, lead times and BOM structures.
• Experience defining KPIs and building dashboards or scorecards that leadership uses to make decisions.
• Strong attention to detail and a track record of finding and fixing data accuracy problems across systems.
• Clear communication skills, with the ability to explain complex analysis to both technical and non-technical audiences.
• Comfort working in a fast-paced, ambiguous environment with high ownership and little structure.

Responsibilities

• Design, build and maintain dashboards that give real-time visibility into inventory, material flow, supplier performance and other supply chain KPIs, using existing ERP, MRP, and MES data.
• Build a metrics framework for the supply chain team that defines what success looks like, ties each measure to company and program goals, and sets clear ownership for each metric.
• Audit and validate data across systems (ERP, MRP, WMS, PLM) so that part masters, BOMs, lead times, costs and inventory records are accurate and consistent.
• Model how material moves between warehouses, stocking locations and production sites to make flow, transit time and handling cost more efficient.
• Find bottlenecks, redundant moves and capacity limits in the logistics network, and propose process improvements.
• Review inventory parameters such as min/max levels regularly and adjust them as demand, supply risk, or program needs change.
• Work with procurement and supplier development engineering teams to generate data-driven cost insights to use in supplier negotiations and sourcing decisions.
• Act as the analytical partner for procurement, operations, finance and engineering on supply chain decisions.

Job description

K2 Space seeks a data-driven Supply Chain Analytics Engineer to design, model, and optimize the analytics behind our growing supply chain. You will own accuracy and visibility, partnering with procurement, operations, finance, and engineering to meet cost, schedule, and quality targets for hardware programs.

Experts in ERP, MRP and MES data, plus experience turning complex data into actionable insights, will help drive decisions across inventory management, logistics modeling and BOM integrity