Data Analyst, Product

About The Company

CoreWeave, recognized as a leading AI Hyperscaler, has established itself as a pioneering force in the cloud infrastructure and AI development space. Recently, it acquired Weights & Biases to create an integrated, end-to-end platform designed to accelerate AI research, development, and deployment. The company's mission is to build a unified environment that streamlines the entire AI lifecycle—from experiment tracking and model optimization to high-performance training clusters and large-scale inference. CoreWeave partners with a diverse ecosystem of AI innovators, researchers, and enterprise clients, empowering developers with cutting-edge tools and robust infrastructure to push the boundaries of artificial intelligence. As a forward-thinking organization, CoreWeave fosters a culture of innovation, collaboration, and continuous learning, committed to delivering exceptional solutions that address complex AI challenges.

About The Role

We are seeking an experienced and motivated Data Analyst, Product to join our Product team. In this role, you will work closely with product managers, engineers, and other stakeholders to analyze user engagement and product performance. Your primary responsibility will be to interpret complex data sets, identify trends, and generate actionable insights that influence product development and strategic decision-making. You will design and run experiments, develop comprehensive reports, and present findings in a clear and accessible manner. Your analyses will directly impact the direction of our products, helping us better understand customer behavior, optimize features, and improve overall user experience. This role offers a unique opportunity to be embedded within a dynamic team at the forefront of AI innovation, contributing to products that serve a global community of AI researchers and practitioners.

Qualifications

• Strong proficiency in SQL and Python for data analysis and scripting
• Experience working with large, event-driven datasets
• Knowledge of analytical and statistical techniques, including hypothesis testing and causal inference
• Familiarity with analytics concepts such as funnels, retention, cohort analysis, and experiment design
• Ability to translate complex data findings into clear, actionable insights
• Experience with data modeling and transformation tools such as dbt
• Experience with experimentation platforms and tools like Hex is a plus
• Excellent communication skills, capable of explaining technical findings to non-technical stakeholders
• Demonstrated ability to work independently and proactively identify process improvements
• Strong stakeholder management skills and a customer-centric mindset
• Interest or background in machine learning workflows and terminology is desirable

Responsibilities

• Analyze user engagement data to identify patterns, trends, and areas for improvement
• Design and run A/B tests to evaluate new features and product changes
• Develop and maintain comprehensive reports and dashboards for product teams
• Collaborate with product managers and engineers to translate questions into structured analyses
• Document analytical processes and ensure reproducibility of findings
• Partner with cross-functional teams to understand data needs and deliver insights
• Identify opportunities to optimize product features based on data-driven insights
• Stay updated with industry best practices in data analysis and experimentation
• Support ongoing data quality initiatives and ensure data integrity
• Contribute to the development of scalable data analysis workflows and tools

Benefits

Competitive base salary with a target total cash compensation ranging from $139,000 to $204,000, depending on experience and location

• Discretionary bonus, equity options, and comprehensive benefits package
• 100% paid medical, dental, and vision insurance
• Company-paid life insurance and voluntary supplemental life insurance
• Short-term and long-term disability coverage
• Flexible Spending Account (FSA) and Health Savings Account (HSA)
• Tuition reimbursement programs to support continuous learning
• Employee Stock Purchase Program (ESPP) to share in company success
• Mental wellness benefits and family-forming support services
• Paid parental leave to support work-life balance
• 401(k) plan with employer matching contributions
• Flexible paid time off policies
• In-office amenities including catered lunches at select locations
• A casual and innovative work environment that encourages creativity and collaboration

Equal Opportunity

CoreWeave is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or any other protected status. We provide reasonable accommodations during the hiring process and throughout employment to ensure equal access and opportunity for all candidates and employees.

Key skills/competency

• SQL
• Python
• Data Analysis
• Product Analytics
• A/B Testing
• Experiment Design
• Data Modeling
• Stakeholder Management
• Machine Learning
• Data Visualization