Strategic Supply Chain Analytics Engineer

CoreWeave; Bellevue (WA); On-site; USD 157,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with match

Flexible PTO

Catered lunch

ESPP

Job summary

CoreWeave is seeking an Analytics Engineer to join the Supply Chain Data Strategy team to design and build scalable data pipelines and dashboards, enabling leaders to see spend, lead times, and on-time performance across the network.

You will bridge raw supply chain data to leadership decisions, partnering with IT Data Engineering and business owners to improve data accuracy and timeliness in ERP-related projects.

Qualifications

• 8-12 years of hands-on data analytics or analytics engineering in supply chain or operations.
• Strong SQL and modern data warehouse experience (Snowflake/BigQuery/Redshift).
• Experience building ETL/ELT pipelines with dbt, Airflow, or Fivetran.
• Proficient in BI tools and building dashboards used by leadership.
• Proficient in Python or similar scripting language.

Responsibilities

• Design, build, and maintain data pipelines ingesting data from ERP, procurement, logistics.
• Develop dashboards to track KPIs like lead time, spend, inventory, capacity utilization.
• Build data models supporting forecasting, scenario planning, capacity analyses.
• Collaborate with Master Data Governance for clean data foundations.
• Translate business questions into analytical solutions and automate reports.
• Present findings to senior leadership and drive analytics strategies.

Skills

SQL

Data Warehouse

ETL/ELT Pipelines

BI Dashboards

Python Scripting

ERP Systems Knowledge

Communication Skills

Tools

dbt

Airflow

Fivetran

Tableau

Power BI

Looker

Job description

CoreWeave is seeking an Analytics Engineer to join the Supply Chain Data Strategy team to design and build scalable data pipelines and dashboards, enabling leaders to see spend, lead times, and on-time performance across the network.

You will bridge raw supply chain data to leadership decisions, partnering with IT Data Engineering and business owners to improve data accuracy and timeliness in ERP-related projects.