Data Analyst

What you'll do

• Analyze large, complex datasets to uncover trends, patterns, and actionable insights that drive measurable business impact
• Design, execute, and interpret experiments (e.g., A/B testing, causal inference methods) to evaluate product changes and inform strategic decisions
• Build, maintain, and optimize scalable dashboards and reporting solutions that enable teams to monitor performance and make data-driven decisions in real time
• Partner cross-functionally with Product, Engineering, Demand, and Supply teams to define key questions, scope analyses, and influence roadmap and prioritization decisions
• Translate complex data into clear, compelling narratives and recommendations tailored to both technical and non-technical stakeholders
• Proactively identify opportunities to improve performance, uncover inefficiencies, and drive optimization across products and business processes
• Develop a deep understanding of the business, data landscape, and key metrics to anticipate future analytical needs and surface insights ahead of stakeholder requests
• Contribute to improving data quality, accessibility, and overall analytics infrastructure by collaborating with data engineering and technical teams

Requirements

• 2–5+ years of experience in data analytics, business intelligence, or data science
• Bachelor’s degree in a quantitative or relevant field (e.g., Business, Computer Science, Economics, Statistics) or equivalent experience
• Strong SQL skills and experience working with large, complex datasets
• Familiarity with data warehouse architectures (e.g., Snowflake, BigQuery, Redshift)
• Experience with BI tools such as Tableau (or similar)
• Solid understanding of statistics and experimental design (e.g., A/B testing, causal inference)
• Ability to translate complex data into clear, actionable insights and communicate effectively with both technical and business stakeholders
• Experience supporting product, engineering, or revenue teams in a fast-paced environment
• Experience building dashboards and scalable reporting solutions
• Strong problem-solving skills, attention to detail, and ability to balance strategic thinking with hands-on execution
• Nice to have: experience in marketing, advertising, ad tech, or media analytics, and/or familiarity with Python or other scripting languages

Tech stack

Benefits