Data Analyst Intern - Product Analysis, Regional Operations (Fall 2026)

About The Team The Product Analyst team in Regional Operations partners closely with Product, Operations, BI, and Data PM teams to support data-driven decision-making across markets. We focus on defining and interpreting key metrics, designing analytical frameworks, and translating complex data into clear, actionable insights. As part of our AI-enabled transformation, the team actively explores how AI-assisted tools can improve analytical efficiency, consistency, and impact—while maintaining strong analytical judgment and business context. Job Description • Support the team in requirements analysis, system support, and release management across regional product and operations initiatives • Collaborate with business and technical stakeholders to understand problem statements and translate them into analytical and product requirements • Apply AI-assisted analysis tools (e.g. natural language querying, insight generation, text analysis) to explore data, identify patterns, and generate first-pass insights • Conduct data analysis to support feature prioritisation and track post-launch performance, with guidance from senior analysts • Assist in testing, validating, and improving analytical workflows, dashboards, and AI-enabled tools to ensure accuracy and usability • Document insights, assumptions, and limitations clearly to support decision-making and knowledge sharing Requirements • Currently pursuing a Bachelor’s degree or above in a quantitative, analytical, or related discipline • Strong ability to break down ambiguous problems into structured questions and actionable steps • Comfortable working with data and learning new analytical tools; prior experience with SQL, Python, or BI tools is a plus but not mandatory • Curious about using AI tools to enhance analysis, efficiency, and insight quality • Able to explain findings clearly and logically to both technical and non-technical stakeholders • Adaptable, open-minded, and comfortable experimenting in a dynamic environment • Full-time internship availability preferred (3–6 months)