5 часов назад
Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 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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