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For Companies At a Glance
- Tasks: Analyse data to drive product decisions and support business growth.
- Company: Join Cloudflare, a leader in building a better Internet.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal development.
- Why this job: Make a real impact by turning data into actionable insights.
- Qualifications: Experience in data analytics, SQL proficiency, and strong communication skills.
- Other info: Dynamic team environment with a focus on diversity and inclusion.
The predicted salary is between 28800 - 48000 £ per year.
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.
We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us!
Available Locations: Lisbon or 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:
- 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
- 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.)
What Makes Cloudflare Special?
We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
Data Analyst in London employer: CloudFlare
Contact Detail:
CloudFlare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Cloudflare on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Data Intelligence & Analytics team.
✨Tip Number 2
Prepare for your interview by brushing up on your SQL skills. Make sure you can confidently write complex queries and explain your thought process. We want to see how you tackle data challenges!
✨Tip Number 3
Showcase your analytical storytelling skills. Bring examples of how you've turned data into actionable insights in past roles. We love seeing how you can weave a narrative around numbers!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission to build a better Internet.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Tableau, and any relevant projects that showcase your analytical skills. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how you can contribute to Cloudflare's goals. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any interesting data projects, don’t hesitate to mention them! Whether it's a personal project or something from your previous job, we love seeing how you apply your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at CloudFlare
✨Know Your Data Tools
Make sure you're well-versed in SQL and Tableau, as these are crucial for the role. Brush up on writing complex queries and optimising them, because you might be tested on your skills during the interview.
✨Understand Cloudflare's Mission
Familiarise yourself with Cloudflare's mission to build a better Internet. This will help you align your answers with their values and demonstrate your genuine interest in the company and its goals.
✨Prepare Real-World Examples
Think of specific instances where you've used data to drive business decisions or solve problems. Be ready to share these stories, as they can showcase your analytical skills and how you translate data into actionable insights.
✨Engage with Empathy
Cloudflare values curiosity and empathy. During the interview, show that you understand the needs of stakeholders and can communicate complex data insights in a way that's accessible to both technical and non-technical audiences.
