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Senior Data Analyst
2 semanas atrás
About Cloudflare
As a leader in protecting and accelerating Internet applications, Cloudflare aims to create a better, faster, and more secure Internet for all. Our vision requires talented individuals like you to help drive this mission forward.
About the Job
We are looking for a Senior Data Analyst to join our analytics team. As part of this role, you'll be responsible for partnering with cross-functional teams to identify business opportunities and challenges through data-driven insights. Your analytical expertise will help drive business decisions and growth strategies, ensuring we stay ahead in the ever-changing tech landscape.
Your Responsibilities
- Analyze complex business questions and provide actionable recommendations to leadership, leveraging your data expertise to inform strategic decisions.
- Collaborate with data engineers to design and implement scalable data solutions, ensuring seamless integration with our global infrastructure.
- Develop and maintain advanced data visualizations and dashboards, using tools like Tableau and BigQuery, to effectively communicate insights to non-technical stakeholders.
- Stay up-to-date with emerging trends and technologies, applying your knowledge to enhance our data capabilities and drive innovation within Cloudflare.
- Prioritize and manage multiple projects simultaneously, delivering high-quality results under tight deadlines while maintaining exceptional communication with stakeholders.
Requirements and Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related experience required.
- 5+ years of data analyst experience with 3+ years of industry experience in large-scale environments (PBs scale, globally distributed teams).
- Proven experience coaching and mentoring early talent to mid-level data analysts.
- Results-oriented analysis supporting positive change in business strategy.
- 2+ years of experience with fast-growing SaaS businesses is preferred.
- Strong SQL, Tableau, and BigQuery skills; Python and R nice to have.
- Capable of collaborating with business teams (Engineering, Sales, Marketing, Product) to ensure data initiatives align with business needs and are of high quality.
