Data Analyst, Product

About The Company

CoreWeave is a leading AI hyperscaler dedicated to transforming the landscape of artificial intelligence development and deployment. Recently acquiring Weights & Biases, CoreWeave is committed to creating an end-to-end platform that accelerates AI workflows from experiment tracking and model optimization to high-performance training clusters and large-scale inference. Our mission is to empower AI innovators, researchers, and enterprises by providing a unified environment that streamlines the entire AI lifecycle. We collaborate with a broad ecosystem of industry leaders and pioneers to push the boundaries of what is possible in AI technology. At CoreWeave, we foster an innovative, fast-paced environment where bold thinkers and agile builders are encouraged to shape the future of AI.

About The Role

We are seeking a talented Data Analyst, Product to join our Product team. In this role, you will work closely with product managers and engineering teams to analyze user engagement, identify trends, and generate insights that directly influence product development and strategy. Your primary responsibilities will include digging into usage data, designing and running experiments, and creating comprehensive reports that help stakeholders understand customer interactions with W&B. Your analyses will be instrumental in guiding product enhancements and identifying new opportunities for growth. This position offers a unique opportunity to be embedded within a dynamic team, leveraging data to solve complex problems and drive impactful decisions in a fast-growing organization dedicated to advancing AI technology.

Qualifications

• Strong proficiency in SQL and Python, with experience handling large, event-driven datasets
• Experience with analytical and statistical techniques for data analysis, testing, and causal inference
• Knowledge of common analytics concepts such as funnels, retention, cohort analysis, and experiment design
• Ability to collaborate effectively with product managers and engineers, translating questions into structured analyses
• Proven experience in writing clean, maintainable code and documenting analyses clearly
• Familiarity with tools such as dbt, Hex, and experimentation platforms is a plus
• Curiosity about machine learning workflows and terminology, with either theoretical or practical understanding
• Excellent stakeholder management skills and a proactive approach to identifying opportunities for process improvements
• Ability to work independently and take ownership of projects, demonstrating initiative and problem-solving skills

Responsibilities

• Analyze user behavior and engagement metrics to identify patterns and insights
• Design, implement, and evaluate A/B experiments to test product hypotheses
• Create and maintain comprehensive reports and dashboards for product teams and stakeholders
• Collaborate with product managers and engineers to translate business questions into actionable data analyses
• Develop and document analytical processes, ensuring clarity and reproducibility of work
• Identify opportunities to optimize product features based on data-driven insights
• Partner with cross-functional teams to improve data collection, quality, and analysis methodologies
• Stay current with industry best practices and emerging trends in data analysis and machine learning

Benefits

• 100% paid medical, dental, and vision insurance
• Company-paid life insurance and voluntary supplemental life insurance options
• Short-term and long-term disability coverage
• Flexible Spending Account (FSA) and Health Savings Account (HSA)
• Tuition reimbursement programs to support professional growth
• Employee Stock Purchase Program (ESPP) for ownership opportunities
• Mental health and wellness benefits to promote work-life balance
• Family-forming support and childcare assistance
• Paid parental leave to support new families
• 401(k) plan with employer matching contributions
• Flexible Paid Time Off (PTO) policy
• In-office amenities such as catered lunches at select locations
• A casual, inclusive work environment focused on innovation and disruption

Equal Opportunity

CoreWeave is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other protected characteristic under applicable law. 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
• Statistical Techniques
• Causal Inference
• Experiment Design
• Product Analytics
• Stakeholder Management
• Machine Learning Workflows
• Reporting & Dashboards