Data Analyst

Cloudflare; United Kingdom; In loco; GBP 85.000 - 115.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive pay + stock ownership

Generous parental leave

Comprehensive benefits: healthcare, 4+

Commuter program

Wellbeing programs

Descrizione del lavoro

Cloudflare is seeking a Senior Data Analyst in London to scale growth and adoption analytics. You will act as a trusted data advisor to business partners, coach peers, and lead in AI-first data models, workflows, and agent-ready datasets.

Success hinges on blending analytics with product insight to drive strategic recommendations and growth. Work with data engineers, PMs, and stakeholders to enable data-driven answers to key business problems, review MR contributions, and craft clear data

Competenze

• 2+ years experience with job orchestration tools like Apache Airflow, pipeline developer and reviewer
• Expert-level SQL writing and optimization for large datasets, including window functions and CTEs
• 3+ years experience in version control (GitLab or GitHub)
• Initiative, curiosity, stakeholder engagement and empathy
• BS/MS in Computer Science, Statistics, Mathematics, or related field
• 4+ years in centralized data analytics teams partnering with business
• Experience translating business questions into analysis frameworks and actionable recommendations
• Proficiency with analytics-relevant AI tooling
• 2+ years in data ingestion and transformation frameworks (dbt, Fivetran)
• Experience with Python, R for analytics
• Analytics experience in fast-growing tech/SaaS environments
• Interest in internet security, protocols, and edge development

Mansioni

• Own development and maintenance of agent-ready curated datasets end-to-end
• Provide analytics support and strategic perspective to business partners
• Partner with data engineers, product managers, and stakeholders to enable data-driven answers to key problems
• Review Merge Requests from team and agents
• Gather requirements, define, build, and maintain pipelines and metrics
• Tell digestible, actionable stories with data to help stakeholders understand insights

Conoscenze

Advanced SQL

Airflow

Git/GitHub

Python

Data storytelling

Stakeholder engagement

AI tooling

Business acumen

Analytical thinking

Analytics orchestration

Formazione

BS/MS in CS/Statistics/Math

Strumenti

dbt

Fivetran

In-house data pipelines

Descrizione del lavoro

• The Cloudflare Data Intelligence & Analytics (DIA) team has built a unified data & ML platform to provide our internal Business Partners with actionable analytics, insights, and recommendations
• We are looking for an experienced Senior Data Analyst in London to scale our growth & adoption analytics initiatives. You will be a trusted data advisor to our business partners, a technical coach to your peers, and the lead in terms of shaping AI-first data models, workflows, and agent-ready-datasets
• Success in this role will rely on marrying a strong analytics background with product and business acumen to deliver highly strategic and compelling insights that accelerate growth and influence adoption. This role also requires a deep understanding of data infrastructure, job orchestration, and lineage, all with the use of AI-tooling as default
• Own the development and maintenance of agent-ready curated datasets end-to-end
• Provide analytics support and a strategic perspective to our business partners
• Partner with data engineers, product managers, and stakeholders to enable data-driven answers to key business problems
• Review Merge Requests created by your team of humans and agents
• Take initiative to gather requirements, define, build, and maintain pipelines and metrics
• Tell easily digestible and highly actionable stories with data to help stakeholders understand analytical insights

Benefits

• Competitive pay: We offer a competitive total rewards package, where every employee is an owner of our stock.
• Take-what-you-need vacation: We encourage employees to find a comfortable work-life balance by taking as many days off as they need while still being able to perform their jobs satisfactorily. (We really mean it!)
• Paid maternity & paternity leave: Our global parental leave policy allows up to sixteen paid weeks of bonding leave time for all qualifying new parents.
• Employee benefits: We offer a comprehensive benefits package including healthcare, life insurance, short- and long-term disability, pension plans in accordance with the market practice in our locations.
• Commuter program: We are flexible about where we work and value connecting at the office. Our commuter benefits program is in place to support team members’ commute to work via public transportation without the extra cost burden.
• Wellbeing: Global offerings that provide mental health, childcare and family forming support to our employees across our offices.

• 2+ years experience working with job orchestration tools like Apache Airflow, both as a pipeline developer and reviewer
• 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 and common table expressions (CTEs))
• 3+ years experience working in version control environments using platforms such as Gitlab or Github
• Initiative, curiosity, strong stakeholder engagement, and empathy
• B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
• 4+ years experience in a centralized data analytics teams in close partnership with business stakeholders
• Experience translating business questions into analysis frameworks, converting results into business recommendations, and presenting those to stakeholders
• Demonstrable proficiency with analytics-relevant AI-tooling
• 2+ years experience with data ingestion and transformation frameworks (e.g., dbt, Fivetran, or custom/in-house developed platforms)
• Experience with statistical analysis programming languages (Python, R etc.)
• Analytics experience in a fast-growing technology, SaaS, or subscription-based business
• Experience and/or a keen interest in internet security, protocols, and edge-development