Research Analyst

Job Description You will be working at the intersection of student mobility, higher education research and product intelligence — building and enriching a data platform architecture that helps students navigate college admissions, career choices, and an evolving educational landscape. This goes beyond just educational data: you will research emerging careers, new-age skills, and shifting industry demands, structuring them into our product so students always have accurate, relevant guidance on time. You will leverage AI tools daily — not just as a research aid, but as a collaborator in product operations. Technical fluency and a fundamental understanding of data architecture and ops are non-negotiable. Role Details • Research, collate, clean, and deploy qualitative and quantitative data on colleges, courses, eligibilities, fees, and careers — and extend this to emerging professions, new-age skills, and evolving educational trends • Develop and curate information on colleges, entrance exams, occupations, industries, and careers, for usage as advisory material by students, teachers, counsellors and parents • Conduct secondary studies on career pathways in multiple industry sectors, including medicine, architecture, design, space technology, defense, finance, education, energy etc. This list is not exhaustive, it will be diverse. • Find and present information about both traditional & unique ways of how an education cascade can finally translate into an entry in an industry sector or academia • Ensure technical accuracy and thorough fact-checking of all published data; follow documentation protocols and deliver on time • Structure data into schema-based frameworks — mapping career pathways, skill requirements, and industry trends into our product’s data architecture • Use LLMs as active tools — for triangulation, data synthesis, prompt-driven code generation & output evaluation; flag inaccuracies and improve results iteratively • Contribute to our in-house chatbot design that make our services sharper and more student-friendly • Build and automate data pipelines through LLMs — handle large datasets through cleaning, transformation, and validation at scale • Collaborate with other teams to identify data gaps and translate research findings into actionable inputs for feature development and user journeys Who we're looking for ? ✅ Bachelor's or Postgraduate degree ✅ Proficiency in Google Cloud Suite (incl. Google Apps Script), Microsoft Suite (incl. Office automations scripts in Excel but Macros not required) ✅ Prior Experience with LLMs, AI tools, and API integrations in Data Operations