
Data Research Expert
1 day ago
We are seeking a detail-oriented and methodical professional to support our product, market, and technical research.
- You will execute end-to-end research tasks across literature reviews, competitive analysis, dataset preparation, and model evaluation support.
Key Responsibilities:
Research Planning and Execution- Translate problem statements into research questions, hypotheses, and deliverables.
- Conduct literature reviews across academic papers, standards, and industry reports.
- Map competitors and adjacent solutions with feature matrices and benchmarks.
- Collect and clean data from trusted sources and public datasets.
- Run structured analyses in spreadsheets or Python or SQL to validate hypotheses.
- Assist in evaluation runs for models or prompts or extraction pipelines and summarize results.
- Produce research briefs, one-pagers, and slide summaries with citations.
- Maintain research logs, assumptions, and references for auditability.
- Create visuals such as tables, simple charts, and process diagrams to explain findings.
- Curate a searchable knowledge base of papers, links, and internal notes.
- Track source provenance, licensing, and usage restrictions.
- Follow privacy, security, and ethical guidelines for data handling.
- Analyze user pain points, workflows, and industry regulations in BFSI.
- Support pricing and TCO or ROI models with assumptions and sensitivity checks.
- Prepare inputs for thought leadership, case studies, and collateral.
- 2+ years of experience in research, analytics, consulting, or a related role.
- Strong skills in secondary research, note-taking, and citation management.
- Proficiency with Excel or Google Sheets and comfort with pivot tables and basic formulas.
- Working knowledge of Python or SQL for basic data wrangling is a plus.
- Clear writing skills with the ability to produce concise, structured summaries.
- Familiarity with BFSI concepts or enterprise software ecosystems is a plus.
We value detail-oriented individuals who enjoy collaborating across product, data, and go-to-market teams.
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