Senior Data Analyst, Traba

• 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

Desirable

• 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
• You'll 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