
Research Catalyst
3 days ago
As a research assistant, you will play a key role in driving business growth and efficiency by uncovering insights from complex data. You will work closely with the team to identify areas for improvement and develop strategic solutions.
Key Responsibilities- Develop research questions and hypotheses that address critical business needs.
- Conduct thorough literature reviews of academic papers, industry reports, and standards to inform your analysis.
- Map competitors and adjacent solutions using feature matrices and benchmarks to identify opportunities for differentiation.
- Collect and clean high-quality data from trusted sources and public datasets to support your research.
- Apply structured analyses in spreadsheets or Python or SQL to validate your hypotheses and drive insights.
- Assist in evaluating models or prompts or extraction pipelines and summarize results to inform business decisions.
- Produce clear and concise research briefs, one-pagers, and slide summaries with citations to facilitate communication with stakeholders.
- Maintain detailed research logs, assumptions, and references to ensure auditability and transparency.
- Create engaging visuals such as tables, simple charts, and process diagrams to explain complex findings and drive stakeholder engagement.
- Curate a searchable knowledge base of papers, links, and internal notes to facilitate collaboration and knowledge sharing.
- Track source provenance, licensing, and usage restrictions to ensure compliance with organizational policies.
- Adhere to privacy, security, and ethical guidelines for data handling to maintain stakeholder trust.
- Analyze user pain points, workflows, and industry regulations in BFSI to identify opportunities for innovation.
- Support pricing and TCO or ROI models with assumptions and sensitivity checks to inform business investment decisions.
- Prepare inputs for thought leadership, case studies, and collateral to showcase organizational expertise and build credibility.
- 2+ years of experience in research, analytics, consulting, or a related field.
- 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.
The ideal candidate is detail-oriented, curious, and methodical in how they validate information. They convert ambiguous asks into a clear plan and timeline. They communicate insights simply and back them with data and sources.
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