Traba
Senior Data & Analytics Analyst - Founding Team
Traba is hiring a
Senior Data & Analytics 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 and drive operational improvements. 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 Gympass Benefit Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health Salary Details
The compensation range for this position is set between $110,000 and $175,000, reflecting our market analysis and other relevant considerations. Exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.
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Traba is hiring a
Senior Data & Analytics 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 and drive operational improvements. 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 Gympass Benefit Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health Salary Details
The compensation range for this position is set between $110,000 and $175,000, reflecting our market analysis and other relevant considerations. Exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.
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