AI Data Analyst Intern
Amberstudent
About the role
AmberStudent, powered by Keka, is one of Indiaβs fastestβgrowing platforms that connects students with verified housing options across major educational hubs. Founded in 2016, the company has built a robust marketplace that leverages technology to simplify the search, booking, and management of student accommodations. With a presence in over 30 cities and a user base of more than 2 million students, AmberStudent has become a trusted brand for both students and property owners.
The organization prides itself on a dataβdriven culture, encouraging every team to make decisions backed by insights and AIβenhanced analytics.
The AI Data Analyst Intern role is designed for fresh graduates who are eager to dive deep into realβworld data problems while working alongside seasoned analysts and product managers. As an intern, you will own endβtoβend analytical projects that influence business strategy, operational efficiency, and product enhancements. You will be expected to write, debug, and optimise SQL queries, harness AI assistants like ChatGPT, Claude, or Gemini to accelerate query development, and validate every output manually.
Building interactive dashboards in Tableau or Power BI will be a daily activity, allowing stakeholders to monitor key performance indicators in real time. Additionally, you will experiment with AI coding tools such as Claude Code, Cursor, or Codex to automate repetitive reporting tasks and prototype lightweight analytical utilities.
Key Responsibilities
- Own projectβspecific analyses for business, operations, or product teams.
- Write, debug, and optimise SQL queries, using AI assistants to speed up the work while validating results yourself.
- Build and maintain interactive dashboards in Tableau or Power BI to track key metrics and trends.
- Leverage AI chatbots (ChatGPT, Claude, Gemini) and AI coding tools (Claude Code, Cursor, Codex) to explore data, automate repetitive reporting, and prototype small tools.
- Identify patterns, gaps, and opportunities in datasets and translate them into clear, actionable recommendations.
- Collaborate with crossβfunctional teams to understand data requirements and deliver insights that drive decisionβmaking.
- Document analytical processes, data pipelines, and dashboard usage guidelines for future reference.
- Participate in weekly knowledgeβsharing sessions to stay updated on emerging AIβdriven analytics techniques.
Tech Stack: SQL, Tableau / Power BI, Python (optional for scripting), AI assistants (ChatGPT, Claude, Gemini), AI coding tools (Claude Code, Cursor, Codex), Git for version control.
Growth Path: Successful interns can transition into fullβtime Data Analyst or Business Intelligence roles, with opportunities to specialise in AIβaugmented analytics, product analytics, or data engineering. The company encourages continuous learning through internal workshops, certifications, and mentorship programs.
Why Join AmberStudent? The internship offers handsβon exposure to largeβscale data environments, the chance to work with cuttingβedge AI tools, and a supportive culture that values curiosity and innovation. You will be part of a missionβdriven team that directly impacts the student experience across India, making your work both technically challenging and socially rewarding.
Eligibility & process
Who can apply
Graduates (B.Tech/B.E., B.Sc., B.Com, BA, MCA, or equivalent) from any discipline; minimum 60% aggregate (or CGPA 6.0/10); no active backlogs; freshers or up to 1 year of experience; batch year 2025β2027 preferred; strong analytical mindset and willingness to learn AIβdriven tools.
Skills & stack
Selection process
- Round 1: Online Aptitude & SQL Test
- Round 2: Technical Interview (SQL, Dashboarding, AI tool usage)
- Round 3: HR Interview (fit, motivation, communication)
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight Amberstudent's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.