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3 часа назад

Data & AI Research Analyst (AI)

140 000 - 200 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data & AI Research Analyst (AI): Developing forward-looking, data-driven research across AI, machine learning operations, databases, data integration, and data governance using proprietary expert-interview datasets with an accent on market trends, investment signals, and demand shifts. Focus on uncovering competitive displacement, analyzing large semi-structured datasets, shaping research products, and communicating actionable insights to investors and corporate clients.

Location: Full-time, in-person in New York City, United States

Base salary: $140,000–$200,000 per year, plus variable bonus and meaningful early-stage equity.

Company

hirify.global is building an AI-native primary intelligence platform that automates expert research workflows and delivers structured, queryable market insights to enterprises, investment firms, and asset managers.

What you will do

  • Use proprietary datasets from more than 10,000 expert discussions to identify company and market trends across data and AI sectors.
  • Develop forward-looking analyses of enterprise AI budgets, vendor displacement, data consolidation, and cloud workload migration.
  • Create high-impact research content for newsletters and client communications.
  • Present actionable insights to investors and corporate clients through calls, webinars, and events.
  • Improve the AI-native research methodology in partnership with product and engineering teams.
  • Track emerging technologies and companies across AI agents, inference economics, lakehouse and vector architectures, and open-source models.

Requirements

  • 3+ years of professional experience creating data-driven research in equity research, financial analysis, market research, or consulting.
  • Understanding of fundamental research workflows, including idea sourcing, primary research, position sizing, and risk management.
  • In-depth knowledge of AI and machine learning operations, databases, data management, data integration, data governance, business intelligence, advanced analytics, and cloud infrastructure.
  • Strong long-form and short-form writing skills, with the ability to synthesize data into forward-looking insights and communicate with investors and corporate clients.
  • Experience managing and analyzing large datasets; SQL experience is strongly preferred.
  • Ability to use AI tools and agents to automate analysis, test ideas, and improve research productivity and rigor.

Culture & Benefits

  • High-velocity, early-stage environment with significant ownership and autonomy.
  • Responsibility for shaping coverage strategy, research direction, and scalable research systems.
  • Health coverage, flexible PTO, and paid holidays.
  • Variable bonus based on company, team, and individual goals.
  • Early-stage equity with upside tied to company growth.

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