Business Analyst (Customer Experience)

Keeta, an independent brand of Meituan, is redefining food delivery across Hong Kong, Saudi Arabia, Brazil, and the Middle East. As we continue to scale, we're looking for a Business Analyst – Customer Experience to transform complex operational data into actionable insights, scalable reporting solutions, and smarter business decisions across our growing portfolio of services. If you're passionate about data, customer experience, automation, and AI — and enjoy turning complex datasets into meaningful business impact — we'd love to hear from you. What You'll Do CX & Operational Analytics • Drive end-to-end performance tracking across food delivery, quick-commerce, and other business verticals. • Analyze customer experience, operational efficiency, cost, and productivity metrics to identify opportunities and performance gaps. SQL & Data Infrastructure • Build, optimize, and maintain complex SQL/Hive queries, leveraging CTEs, window functions, JSON parsing, and advanced data transformations. • Partner with business and technical teams to define data requirements and standardize regional metrics. BI, Dashboards & Automation • Design automated BI dashboards, interactive scorecards, and multi-level performance models for internal teams and external partners. • Build scalable reporting solutions that improve visibility and reduce manual analysis. AI-Powered Analytics • Leverage GenAI tools for SQL optimization, sentiment and unstructured-text analysis, debugging, automation, and technical analysis. • Explore new ways to integrate AI into everyday analytics workflows and decision-making. Insights & Business Strategy • Translate complex data into clear recommendations, performance frameworks, and executive-level insights. • Partner with Operations and business stakeholders to turn analytical findings into measurable improvements. What We're Looking For • 3–5+ years of experience in Business Intelligence, Customer Analytics, Operations Analytics, or a similar analytical role. • Experience within technology, e-commerce, food delivery, quick-commerce, marketplaces, or multi-vertical platforms is highly preferred. • Advanced SQL/Hive skills, including complex functions, query optimization, and data transformations. • Hands-on experience building BI dashboards, scorecards, and automated reporting solutions. • Experience with Python, VBA, Power Query, or similar analytical/automation tools. • Strong understanding of CX, operational efficiency, cost, and productivity metrics. • Ability to translate complex analysis into clear business recommendations for senior stakeholders. Why Join Keeta? 🌍 Multi-vertical impact – Shape analytical decision-making across food delivery, quick-commerce, and emerging business lines. 🤖 AI-first environment – Use GenAI and automation to rethink how analytics, reporting, and deep-dive analysis are done. 📊 End-to-end ownership – Build solutions from data requirements and SQL architecture through dashboards, insights, and strategic recommendations. 🚀 Build at scale – Help standardize performance frameworks and reporting infrastructure across regional and international markets. Show more Show less

3–5+ years of experience in Business Intelligence, Customer Analytics, Operations Analytics, or a similar analytical role. Experience within technology, e-commerce, food delivery, quick-commerce, marketplaces, or multi-vertical platforms is highly preferred. Advanced SQL/Hive skills, including complex functions, query optimization, and data transformations. Hands-on experience building BI dashboards, scorecards, and automated reporting solutions. Experience with Python, VBA, Power Query, or similar analytical/automation tools. Strong understanding of CX, operational efficiency, cost, and productivity metrics. Ability to translate complex analysis into clear business recommendations for senior stakeholders.

CX & Operational Analytics: Drive end-to-end performance tracking across food delivery, quick-commerce, and other business verticals. Analyze customer experience, operational efficiency, cost, and productivity metrics to identify opportunities and performance gaps. SQL & Data Infrastructure: Build, optimize, and maintain complex SQL/Hive queries, leveraging CTEs, window functions, JSON parsing, and advanced data transformations. Partner with business and technical teams to define data requirements and standardize regional metrics. BI, Dashboards & Automation: Design automated BI dashboards, interactive scorecards, and multi-level performance models for internal teams and external partners. Build scalable reporting solutions that improve visibility and reduce manual analysis. AI-Powered Analytics: Leverage GenAI tools for SQL optimization, sentiment and unstructured-text analysis, debugging, automation, and technical analysis. Explore new ways to integrate AI into everyday analytics workflows and decision-making. Insights & Business Strategy: Translate complex data into clear recommendations, performance frameworks, and executive-level insights. Partner with Operations and business stakeholders to turn analytical findings into measurable improvements.