Senior Analytics Engineer
About this role
Managing inventory discrepancies and scaling infrastructure data requires bridging the gap between raw supply chain logs and reliable business intelligence. CoreWeave needs a Senior Analytics Engineer to solve this challenge by building and evolving the enterprise semantic layer for the Machine Infrastructure Supply Chain team. You will transform complex data into trusted models, metrics, and analytics-ready datasets while working across tools like dbt, Airflow, Spark, StarRocks, Tableau, and Omni.
In this high-ownership position, you will collaborate closely with data engineering, finance, product, and operations to define shared business logic and optimize supply chain operations. You will analyze inventory trends, monitor inventory levels, and develop dashboards and KPIs to track inventory accuracy and warehouse efficiency. Ideal candidates possess extensive hands-on experience in analytics engineering or business intelligence, deep expertise in SQL and dbt, and a strong capability to translate intricate datasets into actionable executive insights.
What you will do
- Analyze inventory trends and generate reports to drive decision-making and support supply chain optimization.
- Monitor and maintain optimal inventory levels across the supply chain network, balancing service levels with working capital targets.
- Collaborate with demand planners and buyers to align inventory strategies with sales forecasts and promotional plans.
- Lead root cause analysis for inventory discrepancies, stockouts, overstock, and slow-moving items.
- Identify and implement process improvements related to inventory planning, replenishment, and warehouse efficiency.
- Develop KPIs and dashboards to track inventory accuracy, turns, cycle times, and other performance metrics.
- Support inventory reconciliation and cycle count programs in coordination with warehouse and finance teams.
- Assist with ERP system optimization, particularly related to inventory modules, safety stock parameters, and reorder points.
What you need
- Bring at least 5 years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, featuring ownership of production analytics systems.
- Demonstrate 5 or more years of hands-on experience modeling analytics-ready data using dbt with SQL and/or Python.
- Apply expert-level SQL skills, including writing, optimizing, and debugging complex analytical queries.
- Possess deep experience querying MPP analytical databases such as StarRocks, Snowflake, BigQuery, or Redshift.
- Utilize strong experience with modern business intelligence tools to build semantic models, reusable metrics, and executive dashboards for self-serve analytics.
- Demonstrate hands-on experience orchestrating data pipelines with Airflow, Dagster, or equivalent tools.
- Maintain working proficiency in at least one scripting language such as Python, Bash, R, or Julia.
- Show a proven ability to translate complex data into trusted models, metrics, and visualizations used by senior stakeholders.
Nice to have
- Experience building and operating production data pipelines or data platforms with strong software engineering practices.
- Deep hands-on experience with stream processing and transport systems including performance tuning and failure debugging.
- Familiarity with open table formats such as Iceberg, Hudi, Delta, or Paimon.
Benefits
- Medical, dental, and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- 401(k) with a generous employer match
- Paid Parental Leave
- Flexible PTO
- Catered lunch each day in our office and data center locations
Skills and tech stack
Questions candidates ask
What is the compensation range for this role?
The base salary range for this role is $182,000 to $242,000. The starting salary is determined based on job-related knowledge, skills, experience, and market location.
What tools and technologies will I be working with?
You will work across the full analytics stack, using tools like dbt, Airflow, Spark, StarRocks, Tableau, and Omni. Additional requirements include MPP analytical databases and scripting languages like Python.
What kind of team will I be supporting?
You will own analytics for the Machine Infrastructure Supply Chain team at CoreWeave. You will partner closely with data engineering, finance, product, and operations.