At a Glance
- Tasks: Develop and maintain datasets, provide analytics support, and present actionable insights.
- Company: Join Cloudflare, a leader in cybersecurity and internet application protection.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
- Why this job: Make a real impact in cybersecurity while working with cutting-edge data technologies.
- Qualifications: B.S. or M.S. in a quantitative field and 4+ years of analytics experience.
The predicted salary is between 63000 - 77000 £ per year.
Cloudflare operates one of the world’s largest intelligent global networks, protecting and accelerating Internet applications for customers ranging from individual bloggers to Fortune 500 companies. The Cloudflare Data Intelligence & Analytics team provides internal business partners with actionable analytics, insights, and recommendations through a unified data and machine learning platform.
Responsibilities:
- Own the end-to-end development and maintenance of agent-ready curated datasets.
- Provide analytics support and strategic perspectives to business partners.
- Partner with data engineers, product managers, and stakeholders to enable data-driven answers to key business problems.
- Review Merge Requests created by team members and agents.
- Gather requirements, define, build, and maintain pipelines and metrics.
- Present digestible and actionable data stories to help stakeholders understand analytical insights.
Requirements:
- Hold a B.S. or M.S. in Computer Science, Statistics, Mathematics, or another quantitative field.
- Demonstrate proficiency with analytics-relevant AI tooling.
- Have 4+ years of experience in centralized data analytics teams working closely with business stakeholders.
- Have expert-level proficiency in writing and optimizing complex SQL queries, including performance tuning and analysis workflows against large, petabyte-scale datasets.
- Have 3+ years of experience working in version control environments such as GitLab or GitHub.
- Have 2+ years of experience with job orchestration tools such as Apache Airflow as both a pipeline developer and reviewer.
- Have 2+ years of experience with data ingestion and transformation frameworks such as dbt, Fivetran, or custom platforms.
- Show initiative, curiosity, strong stakeholder engagement, and empathy.
- Translate business questions into analysis frameworks, convert results into business recommendations, and present them to stakeholders.
Nice to have:
- Experience or keen interest in Internet security, protocols, and edge development.
- Analytics experience in a fast-growing technology, SaaS, or subscription-based business.
- Experience with statistical analysis programming languages such as Python or R.
Conditions:
- Employment is based in London.
- Candidates who progress to the offer stage may be asked to attend an in-person interview at a Cloudflare office or hub.
- Any offer may be conditioned on authorization to receive software or technology controlled under U.S. export laws without sponsorship for an export license.
data analyst in cybersecurity in London employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
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We think this is how you could land data analyst in cybersecurity in London
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We think you need these skills to ace data analyst in cybersecurity in London
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!
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How to prepare for a job interview at Enfint
✨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!
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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
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✨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.
