Senior Data Analyst - Founding Team

Traba is building the autonomous future of industrial staffing. We are a technology company reinventing how industrial businesses manage labor by developing fully autonomous, orchestrated multi-agent AI workflows to connect businesses with vetted workers to meet their staffing needs. Our mission is to build a world where the global supply chain operates at peak efficiency. We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst.

Traba is hiring a Senior Data Analyst to help build our analytics foundation from 0→1. You’ll drive strategic insights, build forecasting models, and own key dashboards that power our fast-growing marketplace.

As a Senior Data Analyst at Traba, you'll develop insights into marketplace dynamics to balance businesses and workers. Drive insights on worker behavior across key operational metrics to ensure highest quality customer experience.

• Provide strategic insights and recommendations to senior leadership through in-depth data analysis.
• Design, build, and maintain dashboards and reports that provide key business metrics and insights to stakeholders across Operations teams.
• Develop data models and forecasting tools to predict operational needs, optimize resource allocation, and ensure efficient scheduling and capacity management.
• Identify key business challenges and opportunities, using data to drive operational improvements and growth initiatives.
• Build scalable analytics infrastructure to ensure data integrity, governance, and accessibility.
• Oversee the development and maintenance of Traba’s data warehouse to ensure data availability and governance.
• Work closely with Operations leadership to understand their data needs and provide actionable insights that drive continuous process improvement and operational efficiency.
• Provide Operations teams with self‑service analytics tools and advanced technologies, enabling them to independently analyze operational data and optimize their daily activities.

• Experience:
  
  4+ years in analytics, data science, business intelligence, or similar roles.
• Education:
  
  BS/MS degree in data science, statistics, mathematics, economics, finance, engineering, or a related field (or equivalent work experience).
• Technical
  
  Skills:
  • Strong proficiency in SQL.
  • Proficiency with Python, R, or ML modeling.
  • Experience with BI tools like Tableau, Looker, Power BI, or equivalent.
• Communication
  
  Skills:
  
  Excellent data storytelling skills to effectively engage with stakeholders.
• Collaboration
  
  Skills:
  
  Strong ability to work across departments, identifying and prioritizing analytics problems to deliver actionable insights.
• Curiosity and Initiative:
  Intense curiosity to ask “why?” and use data to find answers, combined with a “no task too small” mentality.
• Self‑Motivation:
  Ability to work independently and as part of a team in a fast‑paced startup environment.

• Experience with analytics notebook tools like Hex, Hyperquery, or equivalent.
• Experience with modern data stack tools like dbt or equivalent.

• 📈 Start‑up equity
• 💰 Competitive Salary
• 🩺 100% Paid health, dental & vision coverage
• 🍽️ Dinner Provided via Door Dash, free Dash Pass & stocked kitchen for NY employees
• 🚍 Commuter benefit
• 🏋🏽 Gympass Benefit
• ✚✚ Additional:
  One Medical Membership, Gympass, HSA via Optum, Talkspace, Health Advocate, Teledoc Health

The compensation range for this position is set between $145,000 and $185,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. We also offer a highly competitive equity package designed to ensure you share meaningfully in the long-term success and upside of the business.

The position is based onsite in New York City, five days per week, giving you the opportunity to collaborate closely with a high‑performing team in a fast‑paced, energetic environment. Being in person supports real‑time decision‑making, stronger teamwork, and the kind of creative problem‑solving that drives meaningful impact.

• Dream…