Research Analyst

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.  

• 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

✅ 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