Summary
Agintex is a company focused on AI and data research, and they are seeking an AI and Data Research Analyst. In this role, you will conduct comprehensive market research and analysis to support client engagements and internal strategies, while also collaborating with various teams to synthesize findings into actionable insights.
Responsibilities
- Conduct in-depth industry, competitor, and market research to support client engagements and internal strategy
- Analyze AI and technology trends across sectors including fintech, healthcare, retail, industrial, and enterprise
- Build structured research reports, briefings, and data summaries that are clear and immediately actionable
- Support the AI Solutions and Client Success teams with pre-engagement intelligence and sector-specific context
- Maintain an internal knowledge base of industry benchmarks, AI use cases, and technology benchmarks
- Track competitive landscape across AI vendors, consulting firms, and technology platforms
- Synthesize findings from primary and secondary sources into concise, visual-ready formats
- Assist with data analysis tasks using Python, SQL, or BI tools to support client deliverables
- Collaborate with marketing on thought leadership content grounded in research findings
Skills
- 2 or more years of experience in market research, technology research, data analysis, or a related field
- Strong analytical skills with experience using Excel, Python, SQL, or BI tools such as Tableau or Looker
- Ability to synthesize large volumes of information into concise, structured outputs
- Excellent written communication with a clear, confident voice in research reports and briefings
- Familiarity with AI concepts, LLMs, machine learning, and the modern AI vendor landscape
- Detail-oriented and comfortable managing multiple research workstreams simultaneously
- Intellectual curiosity and a genuine interest in how technology is reshaping industries
- Experience with research tools such as Crunchbase, CB Insights, Statista, or similar platforms
Qualifications
Must Haves
- 2 or more years of experience in market research, technology research, data analysis, or a related field
- Strong analytical skills with experience using Excel, Python, SQL, or BI tools such as Tableau or Looker
- Ability to synthesize large volumes of information into concise, structured outputs
- Excellent written communication with a clear, confident voice in research reports and briefings
- Familiarity with AI concepts, LLMs, machine learning, and the modern AI vendor landscape
- Detail-oriented and comfortable managing multiple research workstreams simultaneously
- Intellectual curiosity and a genuine interest in how technology is reshaping industries
- Experience with research tools such as Crunchbase, CB Insights, Statista, or similar platforms
Benefits
- 100% remote-first flexibility with async-friendly culture
- Annual learning and development budget for courses, certifications, and conferences
- Access to cutting-edge AI tools, GPUs, and research resources
- Direct collaboration with founders and senior leadership
- Health and wellness stipend
- Equity consideration for senior and long-term contributors
- Paid time off, public holidays, and a no-meeting culture on Fridays