Research Analyst - Enterprise Tech

Qualitate•New York, NY

1d•$130,000 - $170,000•Onsite

About The Position

Qualitate is hiring a Research Analyst for its Enterprise Tech team, the company’s largest and fastest-moving coverage area. The analyst will research software, cloud infrastructure, cybersecurity, data and AI, and IT services, producing work that helps investors and corporate strategy teams understand enterprise IT spending, vendor performance, and the progression of AI from pilots to production spending. The role begins under the sector lead and is designed to grow into ownership of one or more coverage areas. The analyst will use Qualitate’s proprietary datasets, including transcripts from CIOs, CISOs, IT decision-makers, and other senior operators, to analyze companies and markets. Work will include tracking enterprise IT budgets, vendor changes, pricing and renewals, usage trends, and AI adoption; turning studies into quantified findings and client-ready materials; and developing forward-looking research on emerging technology themes. The role also includes writing for newsletters and client communications, participating in client conversations and events, and helping design research methods in partnership with product and engineering. Qualitate seeks someone with strong analytical ability, writing quality, curiosity, and a capacity to learn quickly. The analyst is expected to take ownership of work from research question through publication, experiment extensively with AI tools and workflows, and build expertise over time. The position is full-time and in-person in New York City. Qualitate describes its environment as high-expectation, fast-paced, high-agency, collaborative, and oriented toward building the processes and systems needed for company growth.

Requirements

1–3 years of professional experience in data-driven research, such as equity research, financial analysis, market research, and/or consulting.
Familiarity with enterprise software economics, including ARR, net revenue retention, consumption versus seat-based pricing, and sales cycles, or the ability to learn these quickly.
Understanding of the fundamental research workflow, including how funds source ideas, conduct primary research, build conviction, size positions, and manage risk, or eagerness to learn it quickly.
Curiosity about how enterprises buy and adopt technology across infrastructure and applications, and the ability to build credible working knowledge of new categories quickly.
Clear long-form and short-form writing and the ability to synthesize data into digestible, forward-looking insights.
Comfort presenting work to investors and strategy clients.
Strong analytical ability and proficiency managing and analyzing large datasets.
Ability to learn and iterate quickly, take ownership, and carry work through to published output.
Hands-on experimentation with AI tools and the ability to use AI to improve productivity and analytical rigor.

Nice To Haves

Exposure to software, internet, semiconductors, or IT services coverage.
SQL experience; strongly preferred.
Familiarity with enterprise software economics or the ability to pick it up quickly.
Experience with, or eagerness to learn, the fundamental research workflow.

Responsibilities

Build company and market analyses across application software, infrastructure and hyperscalers, security, data platforms, AI/LLM vendors, and IT services using proprietary datasets.
Track enterprise technology sector signals, including IT budget intentions, vendor consolidation and displacement, seat and consumption trends, pricing and renewal dynamics, and AI adoption and spending.
Create quantified, time-series views of vendor market-share gains and losses and analyze the reasons behind them.
Turn data-collection studies into client-ready outputs, including quantified findings, charts, vendor scorecards, and written takeaways.
Develop forward-looking analyses of themes such as agentic AI, security platformization, cloud optimization cycles, and AI’s effect on seat-based software models.
Write research for the company newsletter and client communications.
Support client and prospect conversations through calls, webinars, and events, and develop the ability to lead them over time.
Design survey and interview frameworks to study buyer behavior.
Partner with product and engineering to maintain and improve research methodology.
Develop ownership of a coverage area within enterprise technology over time.
Experiment with AI tools and agents, incorporate them into daily workflows, automate analytical work, and share learnings with the team.
Take work from research question through published output and contribute to building company processes, playbooks, and systems.