Senior Data Analyst: AI-Driven Growth & Adoption Analytics

Cloudflare

Austin (TX)

On-site

USD 93,000 - 133,000

Full time

29 hours ago
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Job summary

Cloudflare is seeking an experienced Senior Data Analyst in London to scale growth and adoption analytics. You will be a trusted data advisor to partners, a technical coach to peers, and lead in shaping AI-first data models and datasets.

The role requires deep analytics expertise, product and business acumen, and a focus on data infrastructure, orchestration, and lineage with AI tooling as default.

Qualifications

  • B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields.
  • Advanced SQL skills with window functions and CTEs; optimize complex queries.
  • 4+ years in centralized data analytics teams with business stakeholder collaboration.
  • 3+ years using Gitlab or Github in version control.
  • 2+ years using Apache Airflow for pipelines.
  • 2+ years with data ingestion/transformation tools such as dbt or Fivetran.

Responsibilities

  • Own the development and maintenance of agent-ready curated datasets end-to-end
  • Provide analytics support and strategic perspective to partners
  • Partner with data engineers, product managers, and stakeholders to enable data-driven answers
  • Review Merge Requests created by your team of humans and agents
  • Gather requirements, define, build, and maintain pipelines and metrics
  • Tell easily digestible and actionable stories with data to stakeholders

Skills

SQL
AI tooling
Stakeholder engagement
Analytical thinking
Git/Gitlab/Github
Apache Airflow
dbt
Fivetran

Education

B.S. or M.S in CS/Stats/Math or equivalent

Tools

Gitlab
Github
Apache Airflow
dbt
Fivetran

Job description

Cloudflare is seeking an experienced Senior Data Analyst in London to scale growth and adoption analytics. You will be a trusted data advisor to partners, a technical coach to peers, and lead in shaping AI-first data models and datasets.

The role requires deep analytics expertise, product and business acumen, and a focus on data infrastructure, orchestration, and lineage with AI tooling as default.

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