# Senior Analytics Engineer

**Company**: CoreWeave
**Location**: Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA
**Experience**: senior
**Job type**: full-time
**Salary**: $182,000 to $242,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/coreweave/jobs/4716692006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_06cb4d07-1a1

## Description

CoreWeave is seeking a Senior Analytics Engineer to own analytics for the Machine Infrastructure Supply Chain team. The successful candidate will build and evolve the company's enterprise semantic layer, transforming raw data into trusted models, metrics, and analytics-ready datasets.

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.

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.

Preferred qualifications:

- 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.

The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. In addition to base salary, the total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program.

## Skills

### Required
- dbt
- SQL
- Python
- StarRocks
- Snowflake
- BigQuery
- Redshift
- Omni
- Tableau
- Looker
- Power BI
- Airflow
- Dagster

### Nice to have
- Flink
- Kafka
- Iceberg
- Hudi
- Delta
- Paimon

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/coreweave/jobs/4716692006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)