Senior Data Analyst

Traba•New York, NY

1d•$145,000 - $185,000•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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

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.