Senior Supply Chain Analytics Engineer (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Supply Chain Analytics Engineer (Data Analytics): Designing and scaling the operating model for data center capacity planning, sourcing, and delivery with an accent on turning fragmented operational data into trusted analytics and dashboards. Focus on building scalable data pipelines, developing business health metrics, and integrating agentic AI tools into analytics workflows.
Location: Must be based in one of the company's locations: Sunnyvale, CA, Livingston, NJ, Dallas, TX, or Bellevue, WA.
Salary: $157,000 – $210,000
Company
CoreWeave is a cloud platform specializing in high-performance infrastructure for AI labs, startups, and global enterprises.
What you will do
- Design and maintain data pipelines transforming supply chain data from ERP, procurement, and logistics systems into analytics-ready datasets.
- Develop dashboards in Tableau, Power BI, or Looker to track key supply chain KPIs such as lead time, supplier performance, and capacity utilization.
- Build and maintain data models that support 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, and DC Ops teams to translate business questions into analytical solutions.
- Automate recurring reporting processes and identify data quality issues to resolve root causes cross-functionally.
Requirements
- 8-12 years of hands-on experience in data analytics, analytics engineering, or BI within supply chain or operations.
- Strong proficiency in SQL and experience with modern data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Experience building ETL/ELT pipelines using tools such as dbt, Airflow, or Fivetran.
- Proficiency with BI/visualization tools (Tableau, Power BI, Looker) and a track record of building leadership-facing dashboards.
- Working knowledge of Python or another scripting language for data manipulation and automation.
- Applicant must be a U.S. person (citizen, national, lawful permanent resident, refugee, or asylee) or eligible to obtain required export authorizations.
Nice to have
- Experience applying agentic AI/LLM-based tools to analytics workflows (e.g., automated QA, natural-language querying).
- Experience with data quality and governance tools such as Informatica, Collibra, or Alation.
- Experience building forecasting or optimization models for supply chain or logistics networks.
- Project management experience with PMP or Agile certification.
Culture & Benefits
- Comprehensive health coverage: 100% paid medical, dental, and vision insurance.
- Financial incentives: 401(k) with generous employer match and Employee Stock Purchase Program (ESPP).
- Family support: Paid parental leave, family-forming support via Carrot, and flexible childcare support via Kinside.
- Wellness: Mental wellness benefits through Spring Health and flexible PTO.
- Work environment: Casual culture with daily catered lunch in office and data center locations.
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