x
xAI
Business Operations Analyst (Human Data)
Skills
SQL QueriesLookerTableauPythonData VisualizationRData AnalysisAIPerformance ManagementPower BI
2 months ago
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Important information
Contract type:
Permanent
Salary:
$122,000 – $180,000 / year
Location:
Palo Alto, CA, USA
Work mode:
Onsite
Published on:
2 September 2026
What they need
- 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
- Our ideal candidate is a proactive analyst with strong quantitative skills and operational judgment, able to turn incomplete data into clear recommendations that improve throughput, quality, cost, and reliability
- You will partner with operations leaders, engineering stakeholders, and enabling teams to identify problems, build operating systems, and drive improved planning decisions
- Perform analyses of Human Data operational metrics—such as 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 for managers and cross-functional partners
- Develop and improve planning and forecasting views (e.g., demand signals, supply/capacity, staffing needs, or process volumes) that support proactive, informed decisions
- Support allocation and operating tradeoffs by synthesizing operational and performance data into clear recommendations for who/what should move where
- Design, document, and refine operational processes and escalation paths so recurring work - performance actions, staffing, handoffs, and similar flows - is consistent, measurable, and scalable
- Identify data gaps and partner with stakeholders to improve data collection, hygiene, and definitions so analysis and operating systems remain reliable
- Collaborate cross-functionally with operations, engineering, recruiting, onboarding, finance, and other partners to integrate insights into hiring, staffing, performance management, and operational planning decisions
- Deliver concise readouts and recommendations to stakeholders, translating analysis into business-oriented next steps and tradeoffs
- Own ad-hoc research and special projects that improve Human Data operating leverage
Benefits
- Health and wellness: Comprehensive health insurance including medical, dental, vision, and disability coverage
- Life and family: Life and AD&D insurance and fertility benefits to ensure our team’s well-being and peace of mind
- Flexible vacation: We work hard but avoid burn out. Take time off when you need it
- Visa sponsorship: We support international talent with visa sponsorship to join our team
- 401(k) plan: Retirement savings plan to secure your financial future- Bachelor’s degree
- 1+ years of experience building and owning analytical models, trackers, or operating systems in Excel / Google Sheets or equivalent
- 1+ years of professional experience in business analytics, business operations, consulting, workforce/operations analysis, or growth/ops strategy
- Bachelor’s degree in business, economics, statistics, computer science, engineering, or a related quantitative field
- 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 (e.g., cohort analysis, regression, time-series, anomaly detection) in Python, R, or similar
- Experience with data visualization tools (e.g., Tableau, Looker, Power BI) or modern BI workflows
- Background in high-growth tech, marketplace/staffing operations, data labeling, human-in-the-loop systems, or consulting environments
- Excellent communication skills, with a track record of 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
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