14 часов назад
Human Data - Business Operations Analyst (AI)
122 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Human Data - Business Operations Analyst (AI) (Human Data operations and analytics): Analyzing workforce performance, capacity, quality, throughput, cost, and process health to improve AI model training and evaluation operations with an accent on KPI reporting, forecasting, and operational planning. Focus on building dashboards and operating systems, identifying data gaps, and translating quantitative analysis into recommendations for staffing, allocation, and scalable process improvements.
Location: Palo Alto, California, United States; onsite role. Weekend work and travel to other SpaceXAI sites may be required.
Salary: $122,000–$180,000 USD per year, plus equity and benefits.
Company
xAI develops AI systems designed to understand the universe and support humanity’s pursuit of knowledge.
What you will do
- Analyze Human Data metrics including capacity, utilization, quality, throughput, cycle time, cost efficiency, and workforce health.
- Build and maintain reporting, trackers, dashboards, and operating systems for actionable KPI visibility.
- Develop forecasting and capacity-planning views covering demand, staffing, supply, and process volumes.
- Translate operational and performance data into recommendations for allocation, staffing, performance management, and planning decisions.
- Design, document, and improve scalable operational processes, handoffs, and escalation paths.
- Collaborate with operations, engineering, recruiting, onboarding, finance, and other stakeholders on research and special projects.
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 tools.
- Strong quantitative, communication, prioritization, and operational judgment skills.
- Ability to present insights to non-technical audiences and influence cross-functional teams.
Nice to have
- Strong SQL skills, including complex joins, window functions, and query optimization.
- Experience with forecasting, capacity planning, workforce analytics, performance metrics, or statistical techniques.
- Python, R, Tableau, Looker, Power BI, or modern BI workflows.
- Experience in high-growth technology, marketplace or staffing operations, data labeling, human-in-the-loop systems, or consulting.
- Project management experience and comfort using modern AI tools to accelerate analysis and workflow design.
Culture & Benefits
- Small, highly motivated organization with a flat structure and hands-on contribution.
- Medical, vision, and dental coverage.
- Equity and access to a 401(k) retirement plan.
- Short- and long-term disability insurance, life insurance, discounts, and other perks.
- Work may include weekends and travel between company sites.
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