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1 день назад

Data Analyst (AI)

Формат работы
hybrid
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 Analyst (AI) (SQL/Python): Turning company data into business decisions and building internal tools, automations, dashboards, and AI workflows with an accent on data accuracy, workflow improvement, and stakeholder-focused analysis. Focus on maintaining trustworthy pipelines, automating recurring reporting, evaluating AI tools, and identifying data quality issues before they affect decisions.

Location: San Francisco, United States; hybrid

Company

hirify.global provides AI-powered user interviews that help global brands generate qualitative user insights at scale.

What you will do

  • Answer recurring business questions across go-to-market, People, Product, and Engineering using SQL, Python, and AI tooling.
  • Build internal tools such as scripts, Slack bots, lightweight dashboards, AI skills, and vibe-coded applications to eliminate repetitive reporting and ad hoc requests.
  • Partner with stakeholders to clarify needs and turn vague requests into useful, well-scoped solutions.
  • Maintain and improve data pipelines, identify data quality issues, and resolve inconsistent definitions.
  • Evaluate emerging AI tools and workflows for internal adoption and document solutions so others can operate them independently.

Requirements

  • 3+ years of experience in a data analyst, analytics engineer, or BI role, with real SQL and Python fluency.
  • Hands-on experience using AI tools such as Claude, ChatGPT, Copilot, Cursor, or similar to build a real script, agent, or automation.
  • Ability to identify repetitive manual processes and automate them.
  • Ability to turn a vague stakeholder request into a specific, well-scoped answer without heavy supervision.
  • Clear written communication and the ability to explain findings or tools to non-technical audiences in a few sentences.
  • Experience at a startup where the data stack and tooling were still being built rather than inherited as a mature system.
  • Experience building or prompting AI agents and workflows, beyond using chat interfaces.
  • Familiarity with modern BI and data tools such as dbt, Looker, Hex, or similar.

Culture & Benefits

  • Work in a tight-knit team serving large enterprise customers.
  • Collaborate across go-to-market, People, Product, and Engineering functions.
  • Hybrid work arrangement in San Francisco.
  • Opportunity to improve internal workflows and adopt practical AI tooling across the business.

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