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Business Operations Analyst (Human Data)

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Onsite

Business Operations Analyst (Human Data)

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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