Senior Analytics Engineer

We're hiring a Senior Analytics Engineer to own analytics for the Machine Infrastructure Supply Chain team at CoreWeave. In this role, you'll build and evolve our enterprise semantic layer - transforming raw data into trusted models, metrics, and analytics-ready datasets used by leaders and teams across the company. You'll work across the full analytics stack, using tools like dbt, Airflow, Spark, StarRocks, Tableau, and Omni to deliver everything from executive dashboards and AI analyst agents to well-defined, reusable data models. You'll partner closely with data engineering, finance, product, and operations to define shared business logic and ensure data is clear, consistent, and decision-ready. This is a high-ownership role for someone who wants to shape how the company understands its data and how decisions get made.

• 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.

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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • 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

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. Learn more at www.coreweave.com. What You'll Do: We're hiring a Senior Analytics Engineer to own analytics for the Machine Infrastructure Supply Chain team at CoreWeave. In this role, you'll build and evolve our enterprise semantic layer - transforming raw data into trusted models, metrics, and analytics-ready datasets used by leaders and teams across the company. You'll work across the full analytics stack, using tools like dbt, Airflow, Spark, StarRocks, Tableau, and Omni to deliver everything from executive dashboards and AI analyst agents to well-defined, reusable data models. You'll partner closely with data engineering, finance, product, and operations to define shared business logic and ensure data is clear, consistent, and decision-ready. This is a high-ownership role for someone who wants to shape how the company understands its data and how decisions get made. About the role: • 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. Who You Are: • 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: • 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. 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. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core • Act Like an Owner • Empower Employees • Deliver Best-in-Class Client Experiences • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 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. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during