Senior Data Analyst

Summary

Join RYZ Labs as a Senior Data Analyst and contribute to the development of self-driving robotic carriers for food delivery. Working remotely within Argentina, you will collaborate cross-functionally to analyze data, optimize processes, and drive strategic decisions. You will build and maintain core analytics, forecast and optimize delivery operations, and act as a strategic thought partner. This role requires a strong analytical background, experience with SQL and data visualization tools, and excellent communication skills. The ideal candidate will have experience in logistics or related fields and a proven ability to work effectively in a fast-paced startup environment.

Requirements

• BA/BS degree; quantitative field preferred
• 6+ years of experience in an analytical role within a startup environment
• 5+ years of SQL experience and comfortable with languages like Python or R for more involved methods, such as forecasting or inferential statistics
• Strong data visualization skills with the ability to create compelling, actionable reports (they use ThoughtSpot and Looker Studio)
• Knowledge of geospatial analysis and techniques
• Strong foundation of A/B testing and experimental design
• Proven stakeholder management and communication skills—Capable of distilling complex analyses for technical and non-technical audiences

Responsibilities

• Build & Maintain Core Analytics: Develop dashboards, reports, and models that improve visibility into operational efficiency, market expansion, and business performance
• Work cross-functionally: Partner with operations, product, and finance teams to ensure data needs are being met while uncovering new opportunities
• Creative Problem-Solving: Find ways to get the data you need, even when perfect solutions don’t exist
• Forecast & Optimize: Assist with building models to predict delivery demand, optimize fleet deployment, and inform expansions
• Be the Analytics Partner: Act as a strategic thought partner, translating complex data into actionable insights
• Own outcomes: Define key metrics and develop data-driven strategies that drive impact across teams

Preferred Qualifications

• Experience in logistics, marketplaces, or operations
• A self-starter with an entrepreneurial, get-things-done mindset
• Exceptional ability to prioritize in situations of high complexity and ambiguity
• Experience with dbt and best practices for data governance
• Experience working with scrappy, fast-moving teams where ambiguity is the norm

Benefits

• Remote work, flexible hours
• Professional development opportunities