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Cloudflare

Sr. Website Analyst - Web Analytics

Reposted 5 Hours Ago
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Hybrid
3 Locations
Senior level
Hybrid
3 Locations
Senior level
The Sr. Website Data Analyst leads web analytics and data insights to improve user experiences, driving personalization and experimentation through deep analysis.
The summary above was generated by AI
Available Locations: Austin, TX, Mexico City or Lisbon
About the role
The Web Strategy team is the digital front door to Cloudflare. We are looking for a curious, self-motivated superstar to be the analytical engine that fuels our most critical website initiatives.
This is not a typical analyst role. We're looking for a unique blend of web analyst and marketing data analyst-a true artisan of data who can go beyond simple reporting. You will be a strategic partner, responsible for diving deep into complex datasets, stitching together disparate sources, and surfacing the "why" behind the "what." Your insights will directly inform our roadmap for needle-moving personalization and experimentation, helping us understand user journeys, identify friction points, and uncover hidden opportunities. If you are passionate about transforming raw data into compelling stories and actionable strategies, we want to hear from you.
Key responsibilities
  • Lead deep-dive analysis: Serve as the subject matter expert for web analytics, conducting in-depth analyses of user behavior, conversion funnels, and content engagement across our global web properties
  • Stitch & synthesize data: Query, extract, and blend large datasets from multiple sources including our web analytics platform, BI database, CRM, and marketing automation platforms
  • Develop actionable insights: Go beyond dashboards to deliver rich insights on user journeys, segmentation, friction points, trends, and projections. Your analysis will be the catalyst for strategic decisions
  • Build compelling visualizations: Design, develop, and maintain robust dashboards and reports in Tableau, Looker Studio, Adobe Analytics, and similar tools tailored to various audiences, from executive leadership to marketing campaign managers
  • Fuel experimentation & personalization: Partner closely with the A/B testing and personalization teams to formulate hypotheses, design measurement frameworks, and conduct post-test analysis to determine the business impact of our initiatives
  • Apply AI: Continuously evaluate applicability of internal AI tools and capabilities to increase velocity, timeliness, and quality of insights
  • Model & forecast: Develop and run statistical models to forecast key web metrics, predict user behavior (e.g., propensity to convert), and identify the key drivers of success
  • Champion data-driven culture: Act as a consultant and advocate for data literacy within the marketing organization, proactively sharing insights in internal communication forums and helping stakeholders ask the right questions
Experience
  • 8+ years experience working in a large B2B, D2C, SaaS, or enterprise cloud company
  • 5+ years of experience in an analytics role, preferably within marketing, web analytics, or product analytics
  • Deep, hands-on experience with at least one enterprise-level web analytics platform (e.g., Adobe Analytics, Google Analytics 4, etc.) in a very high web traffic environment
  • Experience with A/B/n testing methodologies and statistical significance.
  • Experience with data warehouses like BigQuery, Snowflake or similar
  • Proficiency in SQL for querying complex, large-scale datasets
  • Knowledge of statistical programming languages, such as Python or R is a plus
  • Familiarity with analyzing data from CRM (e.g., Salesforce) and Marketing Automation (e.g., Marketo) platforms to create a full-funnel view
  • Proven expertise in creating impactful dashboards and data visualizations using tools like Tableau, Looker Studio, etc
  • Exceptional communication and storytelling skills, with the ability to translate analytical findings into clear, concise, and actionable recommendations
  • Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics) or equivalent practical experience is preferred

Reasonable overlap with US work hours expected during the week. Weekend work while not expected may arise occasionally for important or embargoed launches.

Top Skills

Adobe Analytics
BigQuery
Google Analytics 4
Looker Studio
Marketo
Python
R
Salesforce
Snowflake
SQL
Tableau

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