Data Analyst

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. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. 

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: Bengaluru

Your Impact

Our ideal candidate is a sharp, thoughtful, and collaborative problem solver, who enjoys identifying key business levers and challenges, and then building data science and analytics frameworks to enable strategic decision making. You will drive initiatives to support the rapid growth of our  Self Serve business. You will work closely with your peers and cross-functional partners to help inform and crafts & maintain key business reports and provide business insights and analysis with a robust foundation.

You also have a strong combination of business acumen and data science background, as well as an intense hunger to make a significant business impact by owning and driving business outcomes.

What we would like to see:

• Well balanced skills - People have trouble pinning you down. Both business and technical/ data teams claim you as their own. You are equal parts technical and functional. You are equally comfortable and effective in persuading both technical and business audiences.
• Data science analytics expertise - You excel at designing and building new and impactful customer-centric KPIs and metrics to measure customer and competitive dynamics. You are equally strong at getting into the weeds and making sure that the data needed to support these metrics is consistent and available. You are very comfortable rolling up your sleeves when needed to write complex SQL queries and strive to balance speed with effective code design. You are adept at leveraging data science and algorithms frameworks in a practical business setting and have mastery over the fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses, supervised, unsupervised learning and/or causal inference. You are able to use your expert understanding of data structures in order scope and define data needs to execute projects.
• Project ownership - You are able to independently lead, execute and oversee end-to-end projects with a high degree of ambiguity. You have strong organizational skills that enable you to manage multiple priorities, set expectations and collaborate across stakeholders, managers and peers.
• Business acumen - You are able to translate insights into relevant business recommendation, anticipate the needs of business stakeholders and connect the dots across various teams, research and insights in order to build convincing and synthesized business recommendations.
• Great communicator - You're capable of telling the story behind the data to an executive audience and you are a pro at building documentation that can simplify any complex story. You can customize your communication style based on stakeholders. You can easily translate a business question to analysis technique and provide specs to engineering teams or analysts.
• Data visualisation - You are a pro at leveraging visualization to build compelling stories based on context to integrate multiple pieces of information into cohesive insights.
• People leadership - You can influence decision making across peers and managers by supporting your point of view with data-driven insights.

Responsibilities

• Partner with finance, marketing, product, data science, BI and analytics organizations to drive outcomes
• Develop and implement quantitative analyses and frameworks, deep dive customer insights, predictive models and customer KPIs to enable performance measurement, decision-making and identify cause-eff