AI Data Analyst Intern

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview (SQL, dashboarding, AI tool usage) → Round 3: HR interview (fit, motivation, cultural alignment)

Amber fosters an AI‑first, collaborative culture where experimentation is encouraged and failures are treated as learning opportunities. Employees enjoy a fast‑paced environment with clear growth pathways, regular mentorship, and a balanced work‑life rhythm supported by flexible timings and a supportive leadership team.

Candidates typically face a timed online aptitude test followed by a technical interview focused on SQL query writing, dashboard creation, and practical usage of AI assistants. The HR round assesses cultural fit, communication skills, and motivation for joining an AI‑first analytics team. Preparing with real‑world data scenarios and showcasing personal AI projects greatly improves chances.

Pursuing or recently completed a Bachelor's/Master's degree in Business Analytics, Data Science, Economics, Engineering, or a related field; Minimum 60% aggregate (or CGPA 6.0/10); No active backlogs; Batch year 2023‑2025 preferred; Strong analytical mindset and willingness to work independently.

Amber is a fast‑growing, global student‑housing platform that operates like a booking.com for university accommodation. With more than 80 million students worldwide using the service, Amber manages over 1 million housing units across six countries and 100+ cities. Backed by $21 million of institutional funding led by Gaja Capital, the company has positioned itself as the largest and most trusted marketplace for student accommodation, simplifying negotiations, paperwork, and payments for both students and property owners. The AI Data Analyst Intern role is a six‑month, full‑time on‑site internship based in Pune. Working directly with business, operations, and product teams, the intern will leverage AI‑driven tools to accelerate data exploration, reporting, and insight generation. The position is designed for fresh graduates or final‑year students who are comfortable writing SQL, building visual dashboards, and using generative AI assistants (ChatGPT, Claude, Gemini) as part of their daily workflow. The intern will be expected to validate every AI‑produced output against source data, ensuring accuracy before presenting findings to stakeholders. Key Responsibilities: 1. Own end‑to‑end analytical projects for business, operations, or product teams. 2. Write, debug, and optimise complex SQL queries, using AI assistants to speed up development while personally verifying results. 3. Design, develop, and maintain interactive dashboards in Tableau or Power BI to monitor key performance indicators. 4. Employ AI chatbots and coding assistants (Claude Code, Cursor, Codex, Copilot) to automate repetitive reporting tasks and prototype small analytical tools. 5. Identify patterns, gaps, and growth opportunities within large datasets and translate them into actionable recommendations. 6. Present insights and recommendations to cross‑functional stakeholders in a clear, structured manner. 7. Document prompts, workflows, and automation scripts for team reuse and knowledge sharing. 8. Collaborate with senior analysts to refine AI‑first analytical methodologies. 9. Contribute to building a repository of AI‑generated analytical assets for future projects. 10. Continuously learn and experiment with emerging AI and data‑visualisation technologies. Tech Stack: SQL, Tableau/Power BI, Excel/Google Sheets, AI chatbots (ChatGPT, Claude, Gemini), AI coding tools (Claude Code, Cursor, Codex, Copilot), optional Python (pandas) for deeper analysis. Growth Path: High‑performing interns can transition to full‑time Data Analyst or Business Analyst roles, with exposure to product analytics, AI‑driven automation, and strategic decision‑making. The role offers a unique blend of hands‑on data work and cutting‑edge AI experimentation, positioning interns for rapid career advancement in data‑centric product companies. Why Join Amber? You will work on real business problems that impact millions of students globally, not on contrived assignments. The AI‑first culture means you will shape how analytics is done in a high‑growth startup, learning directly from seasoned analysts and product leaders. The collaborative, fast‑paced environment encourages innovation, continuous learning, and visible impact from day one.