Data Analyst

Summary

Join our Product Analytics team and contribute to data-driven decision-making, product optimization, and fostering a culture of data-driven decision-making. As a key member of our team, you will collaborate closely with product managers, developers, and stakeholders to provide support for AI product initiatives.

Requirements

• Bachelor’s degree in computer science, Engineering, Statistics, Mathematics, or related field; advanced degree preferred
• Proven experience (2+ years) in product analytics, data science, or business intelligence roles
• Expertise in data analytics tools and technologies (e.g., SQL, Python/R, Tableau, Looker) and proficiency in data modeling and visualization
• Strong business acumen and ability to translate complex data insights into actionable recommendations and strategic initiatives
• Excellent communication and stakeholder management skills with the ability to influence and align cross-functional teams towards common goals

Responsibilities

• Drive Data-Driven Decision-Making: Partner closely with AI product management, engineering, and operations teams to leverage data insights in product roadmap prioritization, feature development, and go-to-market strategies
• Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide analytical thoughts through proactive and strategic contributions
• Present findings and recommendations to senior leadership to inform strategic decision-making and resource allocation
• Optimize Product Performance: Partner with product leaders to provide early insights during product initiation, rollouts and beta programs
• Monitor product performance metrics and proactively identify areas for improvement or optimization
• Conduct analysis and opportunity sizing to find opportunities for improvement and turn the hypothesis into actionable and well-designed experiments (A/B Testing)
• Work closely with UX/UI designers to optimize user experiences and increase product adoption and retention
• Cultivate Data Culture: Foster a culture of data-driven decision-making and continuous learning across the organization
• Provide training and support to stakeholders on data analytics tools, methodologies, and best practices
• Champion data governance and compliance initiatives to ensure ethical and responsible use of data