Senior Data Analyst

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. As a Senior Data Analyst at Traba, you'll work closely with our go-to-market leaders in understanding sales cycles and conversion rates as well as developing insights into salesperson productivity and attainment. Dig deep into revenue retention and customer segmentation, helping with customer revenue forecasting to strategize which prospects to close and customers to prioritize. Responsibilities: 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 GTM 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 Revenue leadership to understand their data needs and provide actionable insights that drive continuous process improvement and operational efficiency. Provide GTM teams with self-service analytics tools and advanced technologies, enabling them to independently analyze operational data and optimize their daily activities. Qualifications: 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. Bonus Skills: Experience with analytics notebook tools like Hex, Hyperquery, or equivalent. Experience with modern data stack tools like dbt or equivalent. Benefits: 📈 Start-up equity 💰 Competitive Salary 🩺 100% Paid health, dental & vision coverage 🍽️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees 🚍 Commuter benefit 🏋🏽 Gympass Benefit ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health Salary Range Details 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. Our Values Dream BIG - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results. Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve these often overlooked communities’ problems. What is Light Industrial Labor? Light industrial labor drives the efficiency of global supply chains, encompassing essential, entry-level roles in warehouses and distribution centers. These workers pack boxes, load trucks, and manage day-to-day operations that ensure goods move seamlessly to meet growing consumer and business demands. It’s a $200B+ global market and a critical part of keeping goods moving smoothly in today's economy. Job Applicant Privacy Notice

{
  "content_hash": "82703913d7c67a3e78fe416a33fd25145673ab064d58032eaf830270e7711c34",
  "source_hash": "fbc78f652b58a0b6a8df2b7de3eb78619c3cecf4789040510770e28b67666709",
  "last_changed_at": "2026-06-04T12:57:30.249Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "New York City, NY",
    "city": "New York City",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T19:14:37.366Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York City, NY",
      "city": "New York City",
      "region": "NY",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}

{}

{
  "id": "43782bf8-a340-44a8-9da9-4f421c316949",
  "team": "EPD, Data Analytics",
  "title": "Senior Data Analyst",
  "jobUrl": "https://jobs.ashbyhq.com/traba/43782bf8-a340-44a8-9da9-4f421c316949",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/traba/43782bf8-a340-44a8-9da9-4f421c316949/application",
  "isListed": true,
  "isRemote": false,
  "location": "New York City, NY",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "EPD",
  "publishedAt": null,
  "workplaceType": null,
  "employmentType": "FullTime",
  "secondaryLocations": []
}