The Data Analyst will provide analytics support, develop reports, automate data pipelines, and translate business questions into actionable insights for product teams.
Available Locations: Lisbon, London
About the Team
The Data Intelligence & Analytics (DIA) team at Cloudflare has built a unified Data & ML platform to provide our internal Business Partners with actionable analytics, insights, and recommendations.
Our goals are to:
As a central data analytics team, we work across all business functions, offering broad exposure to Cloudflare's entire business.
Role Summary
We are looking for an experienced Data Analyst or Senior Data Analyst in London or Lisbon to scale our product analytics initiatives. You will be a trusted data advisor to our product organization, analyzing a wide array of datasets to inform product team data requests, ranging from reporting and ad-hoc analysis to strategic product roadmap-influencing projects.
Success in this role relies on marrying a strong analytics background with product and business acumen to deliver highly strategic and compelling insights that accelerate growth and influence product decisions. This role requires a deep understanding of data infrastructure and a passion for operationalizing insights, not just generating them.
Role Responsibilities
Role Requirements
Nice-to-Have Skills
About the Team
The Data Intelligence & Analytics (DIA) team at Cloudflare has built a unified Data & ML platform to provide our internal Business Partners with actionable analytics, insights, and recommendations.
Our goals are to:
- Democratize data & intelligence
- Support Cloudflare's critical business needs
- Provide self-service data & AI applications to fuel business critical initiatives
As a central data analytics team, we work across all business functions, offering broad exposure to Cloudflare's entire business.
Role Summary
We are looking for an experienced Data Analyst or Senior Data Analyst in London or Lisbon to scale our product analytics initiatives. You will be a trusted data advisor to our product organization, analyzing a wide array of datasets to inform product team data requests, ranging from reporting and ad-hoc analysis to strategic product roadmap-influencing projects.
Success in this role relies on marrying a strong analytics background with product and business acumen to deliver highly strategic and compelling insights that accelerate growth and influence product decisions. This role requires a deep understanding of data infrastructure and a passion for operationalizing insights, not just generating them.
Role Responsibilities
- Provide analytics support, product understanding, and a strategic perspective to our product partners
- Partner with data engineers, product managers, and stakeholders to enable data-driven answers to key business problems
- Take initiative to define, build, and maintain business metrics and reports
- Develop and automate data pipelines and reports to enable insights at scale
- Weave stories with data to help stakeholders understand analytical insights
Role Requirements
- B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
- 4+ years of experience in a centralized data analytics team, ideally with close working partnerships with business stakeholders
- Expert-level proficiency in writing and optimizing complex SQL queries is mandatory, with a proven ability to performance-tune complex queries and manage analysis workflows against large, petabyte-scale datasets (Candidates will be assessed on advanced SQL skills including window functions, common table expressions (CTEs))
- 4+ years experience using Tableau to build and communicate data stories to technical and non-technical stakeholders
- 2+ years experience working in a version control environment using platforms such as Gitlab or Github
- Experience with data ingestion and transformation frameworks (e.g., dbt, Fivetran, or custom/in-house developed platforms)
- Initiative, curiosity, and strong stakeholder engagement and empathy
- Experience translating business questions into analysis frameworks, converting results into business recommendations, and presenting those to stakeholders
Nice-to-Have Skills
- Experience and/or a keen interest in internet security
- Proven analytics experience in a fast-growing technology, SaaS, or subscription-based business
- Experience with statistical analysis programming languages (Python, R etc.)
Top Skills
Dbt
Fivetran
Git
Gitlab
Python
R
SQL
Tableau
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