At a Glance
- Tasks: Analyse data to drive growth and adoption strategies using AI tools.
- Company: Join Cloudflare, a leader in building a better Internet.
- Benefits: Enjoy a hybrid work model, competitive salary, and a vibrant company culture.
- Other info: Be part of a diverse team with opportunities for personal and professional growth.
- Why this job: Make a real impact by shaping data-driven insights for a global network.
- Qualifications: Experience in data analytics, SQL proficiency, and a passion for problem-solving.
The predicted salary is between 63000 - 77000 £ per year.
About Us
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.
Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: London
Our goals are to:
- Democratize data & intelligence for humans and agents
- Build a context layer and an AI systems layer upon our unified data & content platform
- Support Cloudflare’s critical business needs
DIA is a ~ 75-member strong geographically distributed but organizationally centralized team. This role is within the growth & adoption analytics pod based in London that works across several business functions, offering broad exposure to Cloudflare’s entire business.
Role Summary
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.
Role Responsibilities
- 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
Role Requirements
- B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
- Demonstrable proficiency with analytics-relevant AI-tooling
- 4+ years experience in a centralized data analytics teams in close partnership 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
- 3+ years experience working in version control environments using platforms such as Gitlab or Github
- 2+ years experience working with job orchestration tools like Apache Airflow, both as a pipeline developer and reviewer
- 2+ years experience with data ingestion and transformation frameworks (e.g., dbt, Fivetran, or custom/in-house developed platforms)
- Initiative, curiosity, strong stakeholder engagement, and empathy
- Experience translating business questions into analysis frameworks, converting results into business recommendations, and presenting those to stakeholders
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.
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
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.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job.
Data Analyst employer: Webhosting
Megaport is an exceptional employer that fosters a dynamic and collaborative work culture, ideal for those looking to make a significant impact in the EMEA sales landscape. With a strong focus on employee growth and development, we offer ample opportunities for professional advancement while providing a supportive environment that values innovation and teamwork. Located in the vibrant United Kingdom, our team enjoys a unique blend of flexibility and engagement, making it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Webhosting!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Webhosting.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Webhosting.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Webhosting, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Webhosting, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Webhosting. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Webhosting
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Webhosting!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
