Senior Analytics Engineer

CoreWeave•Sunnyvale, CA

3d•$182,000 - $242,000•Onsite

About The Position

CoreWeave is seeking a Senior Analytics Engineer to lead analytics for the Machine Infrastructure Supply Chain team. This role involves building and enhancing the enterprise semantic layer, transforming raw data into reliable models, metrics, and datasets for company-wide use. The position requires working across the full analytics stack, utilizing tools such as dbt, Airflow, Spark, StarRocks, Tableau, and Omni to produce executive dashboards, AI analyst agents, and well-defined data models. Collaboration with data engineering, finance, product, and operations teams is essential to establish shared business logic and ensure data accuracy and consistency for decision-making. This is a high-ownership role focused on shaping the company's understanding of its data and influencing decision-making processes.

Requirements

5+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with ownership of production analytics systems.
5+ years of hands-on experience modeling analytics-ready data using dbt with SQL and/or Python.
Expert-level SQL, including writing, optimizing, and debugging complex analytical queries.
Deep experience querying MPP analytical databases such as StarRocks, Snowflake, BigQuery, or Redshift.
Strong experience with one or more modern BI tools (e.g., Omni, Tableau, Looker, Power BI), including building semantic models, reusable metrics, and executive dashboards to enable consistent, self-serve analytics.
Hands-on experience orchestrating data pipelines with Airflow, Dagster, or equivalent.
Working proficiency in at least one scripting language (e.g., Python, Bash, R, or Julia).
Proven ability to translate complex data into trusted models, metrics, and visualizations used by senior stakeholders.

Nice To Haves

Experience building and operating production data pipelines or data platforms, with strong software engineering practices (testing, CI/CD, code review).
Deep hands-on experience with stream processing and transport systems (e.g., Flink, Kafka), including performance tuning and failure debugging.
Familiarity with open table formats such as Iceberg, Hudi, Delta, or Paimon, including an understanding of how they impact data modeling, reliability, and analytics performance.

Responsibilities

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.
Provide insights into inventory risk and obsolescence to support product lifecycle management.