Senior Supply Chain Analytics Engineer
$157,000–$210,000 year
On-siteLivingston, New Jersey, United States
Job Summary
Design and maintain data pipelines that ingest and transform supply chain data from ERP, procurement, logistics, and planning systems into analytics-ready datasets. Develop dashboards and reporting tools that track key KPIs such as lead time, supplier performance, spend, inventory, and capacity utilization. Build data models supporting forecasting, scenario planning, and network capacity analysis. Partner with Master Data Governance to ensure analytics are built on clean, well-governed item, vendor, and location data. Collaborate with Procurement, Logistics, Warehousing, Planning, and DC Ops teams to translate business questions into analytical solutions. Automate recurring reporting processes to reduce manual effort and improve data accuracy and timeliness. Identify data quality issues and gaps in existing systems, and work cross-functionally to resolve root causes. Support supply chain projects such as ERP implementations, system upgrades, and migrations as the analytics and reporting workstream lead. Present analytical findings and recommendations to senior leadership in a clear, actionable format.
Required Qualifications
- 8-12 years of hands-on experience in data analytics, analytics engineering, or business intelligence within a supply chain, procurement, or operations environment
- Strong proficiency in SQL
- Experience with a modern data warehouse (Snowflake, BigQuery, Redshift, or similar)
- Experience building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, Fivetran, or equivalent
- Proficiency with a BI/visualization tool (Tableau, Power BI, Looker or 1P platform)
- Working knowledge of Python or another scripting language for data manipulation and automation
- Familiarity with supply chain data domains: materials/items, vendors, purchase orders, logistics, Quality and inventory
- Proficiency in or exposure to ERP systems (SAP S/4HANA, SAP ECC, Oracle NetSuite, or equivalent)
- Solid analytical skills with the ability to perform root cause analysis and translate data into a clear business narrative
- Excellent communication skills; ability to present complex data concepts to non-technical audiences
- Must be based out of any one of our locations at Sunnyvale, CA, Livingston, NJ, Dallas, TX or Bellevue, WA
- Applicant must be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency
Desired Qualifications
- Experience with data quality and governance tools (Informatica, Collibra, Alation, Atlan, or similar)
- Experience applying agentic AI/LLM-based tools to analytics workflows (e.g., building or using AI agents for automated data QA, natural-language querying of supply chain data, self-serve reporting, or pipeline monitoring)
- Experience building forecasting or optimization models for supply chain or logistics networks
- Experience supporting global supply chain operations in Data Center Build
- Familiarity with statistics or machine learning techniques applied to operational data
- Project management experience (PMP or Agile certification a plus)
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