Analytics Specialist

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave 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, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

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We’re seeking a Data & Business Intelligence Analyst to join our People team. This role blends technical BI expertise with workforce analytics, helping Core Weave’s leadership make data‑driven decisions about our people, performance, and organizational effectiveness.

You will own the design and delivery of dashboards, analytics, and reporting solutions—ranging from HR and workforce metrics to company‑wide executive insights. Your work will connect data from multiple systems, ensure quality and accessibility, and transform complex information into compelling, actionable narratives for leaders at every level.

• Develop and deliver reporting solutions that empower HR, People Operations, and senior leadership to make informed, data‑driven decisions.
• Design and maintain executive‑level dashboards, establishing clear, consistent visualization standards across the People organization.
• Lead workforce analytics initiatives, providing insights into employee experience, engagement, performance, and beyond.
• Support system transitions, including Workday HRIS migration, ensuring data integrity and continuity during major changes.
• Collaborate cross‑functionally with Data Engineering, People Ops, Finance, and IT to align reporting needs, improve data accessibility, and drive strategic outcomes.
• Model, query, and optimize large datasets using SQL and BI tools, translating technical analysis into meaningful business insights.
• Analyze and interpret data from HR systems, surveys, and performance platforms (e.g., Fresh Service, Lattice) to identify trends and opportunities.
• Establish and uphold data governance and visualization best practices, ensuring accuracy, consistency, and security across reporting.
• Mentor colleagues in analytics techniques, fostering a culture of data fluency across HR and business functions.

• 5+ YOE as a Data Analyst, Data Scientist, or Data Engineer
• Bachelor’s degree in Data Analytics, Business, Economics, Computer Science, or a related field, or equivalent experience.
• Experience with Workday reporting and analytics.
• Experience supporting system transitions, including Workday HRIS migration and data migrations related to mergers and acquisitions (M&A), while ensuring data integrity and continuity during major changes.
• Experience leveraging generative AI (GenAI) and modern analytics practices, such as LLM‑powered data querying, AI‑assisted visualization, automated data storytelling, and predictive insight generation to accelerate analysis and decision‑making.
• Expert proficiency in SQL and experience working with large, complex datasets.
• Hands‑on experience with Tableau (or equivalent BI tools like Power BI, Looker).
• Strong analytical and problem‑solving skills, with the ability to distill complex findings into actionable insights.
• Excellent communication skills—able to translate data into stories that influence senior leadership.
• Experience managing multi‑stakeholder projects in a fast‑paced, scaling environment.

• Familiarity with HR data sources (HRIS, ATS, survey tools, performance systems) and HR metrics.
• Advanced experience with scripting languages (Python, R, or similar) for automation and analysis.
• Experience querying data warehouses (e.g., Snowflake, Big Query, Redshift, Star Rocks).
• Knowledge of data governance and Global HR data privacy best practices.
• Experience with Airflow, Spark, or other data orchestration and distributed computing tools is a plus.

The base salary range for this role is $98,000 to $143,000. The starting salary will be determined based on job‑related knowledge, skills, experience, and…