Data Analyst

Team: Data Reporting to: Director of Data Location: India About ELSA ELSA is a global leader in AI-powered English communication training, dedicated to transforming how people learn and speak English with confidence. Founded in 2016 and headquartered in San Francisco, we operate across the U.S., Vietnam, Portugal, Indonesia, Brazil and Japan. Powered by proprietary speech-recognition technology and generative AI, ELSA delivers real-time, hyper-personalized feedback to help learners improve pronunciation, fluency, and overall communication effectiveness. With over 50 million learners and 1 billion hours of anonymized speech data, ELSAs depth of language training intelligence is unmatched in the industry. Our B2B flagship platforms ELSA Enterprise and ELSA Schools empower organizations and educational institutions to elevate communication capabilities and unlock personal and professional opportunities for their people. We design engaging, bite-sized learning experiences that adapt to each learners goals and context, ensuring measurable improvement and lasting confidence. Our vision is to become the global standard for real-time English communication training, enabling 1.5 billion language learners worldwide to speak clearly, be understood, and share their stories with the world. Backed by world-class investors including Googles Gradient Ventures, Monks Hill Ventures, and SOSV, ELSA has been recognized among the top global AI innovators: Forbes Top 4 Companies Using AI to Transform the World Research Sniper Top 5 Best AI Apps ASU+GSV EdTech 150 CB Insights Top 100 AI Companies Join us in shaping the future of language learning and empowering millions to unlock opportunity through confident communication. Job overview: We’re looking for a Data Analyst to own reporting and analysis that directly informs business decisions at Elsa. This isn’t a pure SQL-and-dashboards seat - routine pulls are increasingly automated, so we want someone who pairs strong technical fundamentals with business judgment and the ability to work fluently with AI tooling to move faster and go deeper. Key Responsibilities Build and maintain dashboards and reporting in Looker, and turn ambiguous business questions into clear analyses Write and optimize SQL against our data warehouse to support self-serve and ad-hoc needs Partner with product, finance, and ops stakeholders to define metrics, surface insights, and drive decisions Own data quality and definitions for the domains you support Use AI-augmented workflows to scale the routine work and spend your time on interpretation and recommendations What You Will Have 2–4 years in analytics with strong SQL and hands-on BI experience (Looker strongly preferred) Comfort translating between business stakeholders and data — not just producing charts, but explaining what they mean Solid grasp of metric design, experimentation basics, and data modeling concepts Curiosity about applying LLM/AI tools to analytics work Clear written and verbal communication Nice-to-Have: Python for analysis, dbt or modeling-layer exposure, prior SaaS/fintech/consumer experience What We Offer Comprehensive employee well-being benefits. Free ELSA Premium courses to polish your language skills Collaborative, international team culture. Opportunity to contribute to a fast-growing, well-funded Silicon Valley startup with global impact.