Назад
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5 часов назад

Data Analyst

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/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/Data Analytics): Building and maintaining agent-ready curated datasets, analytical pipelines, and metrics for growth and adoption initiatives with an accent on advanced SQL, data infrastructure, and AI-first workflows. Focus on optimizing petabyte-scale queries, orchestrating and reviewing pipelines, and translating business questions into actionable recommendations for stakeholders.

Location: Hybrid, London, United Kingdom

Company

hirify.global operates a global network that protects and accelerates Internet applications and provides security, performance, and data services.

What you will do

  • Develop and maintain agent-ready curated datasets end-to-end.
  • Provide analytics support and strategic recommendations to business partners.
  • Partner with data engineers, product managers, and stakeholders to solve business problems with data.
  • Define, build, and maintain data pipelines and metrics.
  • Review merge requests created by human and AI contributors.
  • Present clear, actionable analytical insights to stakeholders.

Requirements

  • Bachelor’s or master’s degree in computer science, statistics, mathematics, or another quantitative field.
  • 4+ years of experience in centralized data analytics teams working with business stakeholders.
  • Expert-level SQL skills, including complex query optimization, window functions, CTEs, and analysis of petabyte-scale datasets.
  • Experience with GitLab or GitHub, job orchestration tools such as Apache Airflow, and data transformation or ingestion frameworks such as dbt or Fivetran.
  • Demonstrable proficiency with analytics-focused AI tools and experience translating business questions into analytical frameworks and recommendations.

Nice to have

  • Interest or experience in Internet security, protocols, or edge development.
  • Analytics experience in a fast-growing technology, SaaS, or subscription-based business.
  • Experience with Python, R, or other statistical analysis programming languages.

Culture & Benefits

  • Work in a geographically distributed Data Intelligence & Analytics organization.
  • Use AI as a default tool for building data models, workflows, and agent-ready datasets.
  • Contribute to initiatives supporting a free and open Internet.
  • Applicants reaching the offer stage may be asked to attend an in-person interview at a hirify.global office or hub.
  • Employment may require authorization to access technology controlled under U.S. export control laws without export-license sponsorship.

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