Jobs · Information Technology · New York

Senior Supply Chain Analytics Engineer

CoreWeave · New York, NY · 1 wk ago
Information Technology$157k–$210k/yrFull-time

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

About the Role

We are seeking an experienced Analytics Engineer to join our Supply Chain Data Strategy team. In this hands-on role, you will partner closely with the IT Data Engineering team and the upstream Operational business owners to design and build scalable data pipelines, models, and dashboards that give supply chain leaders visibility into business health metrics such as spend, lead times, and on-time performance across the network. You will serve as the technical bridge between raw supply chain data and the leadership decisions by turning messy, fragmented data into trusted, actionable insight.

This role reports to the Head of Supply Chain Data Strategy and is based out of any one of our locations at Sunnyvale, CA, Livingston, NJ, Dallas, TX or Bellevue, WA.

Responsibilities

  • Design, build, 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 (e.g., Tableau, Power BI, Looker or 1P platforms) that track key supply chain KPIs such as lead time, supplier performance, spend, inventory, 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, 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 (ERP implementations, system upgrades, migrations) as the analytics and reporting workstream lead.
  • Present analytical findings and recommendations to senior leadership in a clear, actionable format.
  • Continuously evaluate and recommend new tools, technologies, and best practices to improve the team’s analytics capabilities.

Requirements

  • 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 and 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) and a track record of building dashboards that leadership actually uses.
  • 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.

Preferred 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).

Skills

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

  • You love to turn messy data into a clear story. Scattered spreadsheets, inconsistent reporting, three versions of the same KPI — these aren’t just annoyances to you, they’re a build opportunity. You take ownership of the full pipeline, from raw source to the dashboard a VP actually opens.
  • You’re curious about what the numbers actually mean. You ask “why did lead time spike?” before you ask “how do I chart this?” You understand how procurement, planning, logistics, and finance data connect — and you use that context to build analytics that hold up under scrutiny, not just ones that render nicely.
  • You’re an expert at making data usable for people who aren’t data people. You’ve built a dashboard, watched a warehouse manager and a VP of Finance both understand it in thirty seconds, and known that’s the whole job. You know a beautiful model nobody trusts is worth less than a simple one everybody uses.

Benefits

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs.

  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption

Pay

The base salary range for this role is $157,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Similar jobs