Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
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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