Principal Supply Chain Data Engineer & Analytics Lead

Accountabilities

• • Develop and maintain scalable supply chain data models, pipelines, and structures that support reporting, analytics, and decision-making across logistics, planning, inventory, warehousing, and fulfillment.
  • Extract, transform, validate, and integrate data from ERP, MRP, DRP, WMS, WCS, TMS, planning, finance, and other enterprise systems.
  • Build reliable analytical datasets that provide consistent and accessible information across supply chain functions.
  • Design and deliver dashboards, scorecards, visualization solutions, and management reports that translate complex operational data into clear insights and recommended actions.
  • Analyze large and fragmented datasets to identify trends, root causes, operational risks, improvement opportunities, and performance drivers.
  • Develop predictive analytics, simulations, optimization models, machine learning applications, and AI-enabled decision-support tools.
  • Support opportunity identification and value creation by quantifying potential savings, operational impacts, customer service implications, and commercial trade-offs.
  • Develop analytical solutions addressing network performance, warehouse productivity, transportation costs, inventory positioning, demand and supply variability, and service performance.
  • Translate technical findings into executive-ready insights, business cases, recommendations, and transformation decision-support materials.
  • Partner with IT and data architecture teams to improve data accessibility, governance, automation, scalability, and long-term sustainability.
  • Identify opportunities to simplify, standardize, automate, and scale supply chain analytics and reporting processes.
  • Connect operational performance metrics with financial and commercial outcomes, including cost, margin, service, productivity, inventory, and working capital.
  • Document business requirements, data logic, metric definitions, assumptions, and analytical outputs to ensure solutions are repeatable and scalable.
  • Collaborate across supply chain, finance, technology, and other functions to deliver high-quality analytics and support transformation initiatives.

  Requirements

  • Bachelor’s degree in Supply Chain Management, Engineering, Data Science, Computer Science, Information Systems, Business Analytics, Operations Research, Finance, or a related discipline.
  • 5+ years of progressive experience in supply chain analytics, data engineering, business intelligence, operations analytics, consulting, or a related field.
  • Demonstrated ability to transform large and complex operational datasets into actionable insights, decision-support tools, and executable recommendations.
  • Experience extracting, transforming, validating, and analyzing data from ERP platforms and other supply chain systems.
  • Strong understanding of end-to-end supply chain processes, including demand planning, supply planning, MRP, DRP, warehousing, distribution, transportation, inventory, and customer fulfillment.
  • Advanced proficiency with SQL, Python, R, Alteryx, Power Query, or comparable data extraction, transformation, and analytics technologies.
  • Strong experience developing dashboards and visualization solutions using Power BI, Tableau, Qlik, or similar business intelligence platforms.
  • Knowledge of ERP and supply chain data structures, including master data, transactions, inventory, orders, production, procurement, warehousing, and logistics information.
  • Experience developing predictive models, forecasting tools, optimization models, simulation analyses, machine learning applications, or AI-enabled decision-support solutions.
  • Strong data quality, governance, validation, analytical modeling, and data storytelling capabilities.
  • Ability to connect operational analysis with financial and commercial implications, including cost, margin, service, inventory, productivity, and working capital.
  • Strong quantitative, analytical, and problem-solving skills with the ability to support complex operational and commercial decisions.
  • Excellent communication skills and the ability to explain complex data, models, assumptions, and recommendations to technical and non-technical stakeholders.
  • Ability to collaborate effectively across multiple functions and influence stakeholders toward data-driven decisions.
  • Strong organizational skills with the ability to manage competing priorities, work through ambiguity, and deliver high-quality solutions in a fast-paced transformation environment.
  • Experience with consulting, internal consulting, transformation offices, supply chain excellence teams, or advanced analytics organizations is preferred.
  • Experience in medical device, pharmaceutical, healthcare, consumer health, manufacturing, or another regulated supply chain environment is advantageous.
  • Familiarity with SAP, Oracle, Kinaxis, Blue Yonder, Manhattan, HighJump/Korber, SAP EWM, Dematic, or comparable ERP, planning, WMS, WCS, or supply chain execution platforms is preferred.
  • Lean Six Sigma, APICS CPIM/CSCP, project management, data engineering, data analytics, or AI/ML certifications or advanced training are a plus.
  • Must be authorized to work for any U.S. employer without requiring employment visa sponsorship.

  Benefits

  • Starting salary range of $145,000–$165,000, depending on qualifications, experience, and other relevant factors.
  • Eligibility for short-term and/or long-term incentive compensation.
  • Medical, dental, and vision insurance.
  • Disability and life insurance coverage.
  • 401(k) retirement plan with company match.
  • Tuition reimbursement for select degree programs.
  • Company holidays, floating holidays, paid vacation, and sick time.
  • Well-being and employee support benefits.
  • Opportunity to work remotely within the United States.
  • Opportunity to influence large-scale supply chain transformation through data, analytics, and AI.
  • Exposure to complex, cross-functional business challenges spanning planning, logistics, inventory, warehousing, and fulfillment.
  • Opportunity to develop and scale advanced analytics capabilities with significant business impact.