Traba is looking to build its analytics foundation from 0→1 to drive strategic insights, build forecasting models, and own key dashboards that power its fast-growing marketplace, ultimately aiming to balance businesses and workers in the light industrial labor market.
Requirements
- Strong proficiency in SQL.
- Proficiency with Python, R, or ML modeling.
- Experience with BI tools like Tableau, Looker, Power BI, or equivalent.
- Experience with analytics notebook tools like Hex, Hyperquery, or equivalent.
- Experience with modern data stack tools like dbt or equivalent.
- BS/MS degree in data science, statistics, mathematics, economics, finance, engineering, or a related field (or equivalent work experience)
- 4+ years in analytics, data science, business intelligence, or similar roles
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.
Other
- 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.
- BS/MS degree in data science, statistics, mathematics, economics, finance, engineering, or a related field (or equivalent work experience)
