Human Data - Business Operations Analyst

Details

Human Data powers model training and evaluation by producing high-quality human-generated data at scale. This role focuses on the metrics, systems, and operating insights that help Human Data run efficiently, spanning workforce performance, capacity and allocation, operational process health, and decision-making support for cross-functional partners. The analyst will turn incomplete data into recommendations that improve throughput, quality, cost, and reliability while partnering with operations leaders, engineering stakeholders, and enabling teams.

Responsibilities

• Analyze Human Data operational metrics, including capacity, utilization, quality, throughput, cycle time, cost efficiency, and workforce health, to uncover trends, risks, and opportunities.
• Build and maintain reporting, trackers, and dashboards that make core operating KPIs visible and actionable.
• Develop and improve planning and forecasting views covering demand signals, supply and capacity, staffing needs, and process volumes.
• Support allocation and operating tradeoffs by synthesizing operational and performance data into recommendations.
• Design, document, and refine operational processes and escalation paths for performance actions, staffing, handoffs, and similar workflows.
• Identify data gaps and partner with stakeholders to improve data collection, hygiene, and definitions.
• Collaborate with operations, engineering, recruiting, onboarding, finance, and other partners on hiring, staffing, performance management, and operational planning decisions.
• Deliver concise readouts and recommendations, translating analysis into business-oriented next steps and tradeoffs.
• Own ad hoc research and special projects that improve Human Data operating leverage.

Requirements

• Bachelor's degree.
• At least 1 year of professional experience in business analytics, business operations, consulting, workforce or operations analysis, or growth and operations strategy.
• At least 1 year of experience building and owning analytical models, trackers, or operating systems in Excel, Google Sheets, or equivalent.
• A degree in business, economics, statistics, computer science, engineering, or a related quantitative field is preferred.
• Strong proficiency in SQL, including complex joins, window functions, and query optimization.
• Experience with forecasting, capacity planning, workforce analytics, or performance metrics.
• Proficiency in statistical or analytical techniques such as cohort analysis, regression, time-series analysis, or anomaly detection using Python, R, or similar tools.
• Experience with data visualization tools such as Tableau, Looker, or Power BI, or with modern BI workflows.
• Background in high-growth technology, marketplace or staffing operations, data labeling, human-in-the-loop systems, or consulting environments.
• Excellent communication skills and experience presenting insights to non-technical audiences and influencing cross-functional teams.
• Project management experience, including prioritizing work in fast-paced settings and driving process change with diverse stakeholders.
• Comfort using modern AI tools to accelerate analysis and operational workflow design.
• Weekend work may be required.
• Travel to other SpaceXAI sites may be required.

Benefits

Base salary is part of a total rewards package that includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short- and long-term disability insurance, life insurance, discounts, and other perks.