Senior Data Analyst - Strategy & Operations

About Traba

Traba’s mission is to empower businesses and workers to reach their full productivity and potential. Traba is a technology company that is revolutionizing the broken staffing industry through a marketplace that connects light industrial businesses with reliable talent while providing workers with flexible and meaningful opportunities. By connecting both, new levels of productivity, earning potential, and avenues for growth are unlocked. We’re proud to be backed by the world’s best investors, such as Founders Fund, Khosla Ventures, and General Catalyst.

Role Overview

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.

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 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.

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
• 🎤 Team building events
• 🏋🏽 Gympass Benefit
• 🌴 Flexible PTO
• ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health

Salary Range

The compensation range for this position is set between $110,000 and $140,000, 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.

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