At Webflow, our mission is to bring development superpowers to everyone. As the pioneer of the Website Experience Platform (WXP), we’re redefining how teams Build, Manage, and Optimize for the web — combining visual development, powerful content management systems, AI-driven personalization, seamless hosting, and end-to-end analytics in a single, unified platform. With AI at the core, Webflow helps teams move faster, create more performant digital experiences, and scale without heavy engineering support. From independent designers and creative agencies to global enterprises, hundreds of thousands of organizations use Webflow to turn ideas into reality — and to power what’s possible on the web.

We’re looking for a Senior Analytics Engineer to help in shaping the data infrastructure, modeling, and analytics capabilities of Webflow. You will be responsible for designing scalable data solutions and ensuring high-quality data availability for analytics and decision-making. This role bridges the gap between data engineering and insights, enabling data-driven strategies across the company.

About the role:

• Location: Remote-first (United States; BC & ON, Canada)
• Full-time
• Permanent
• Exempt
• [SALARY + VARIABLE PAY; CHOOSE ONE] Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.
  • United States  (all figures cited below in USD and pertain to workers in the United States)
    • Zone A: [$150,000 - $207,000]
    • Zone B: [$141,000 - $194,000]
    • Zone C: [$132,000 - $182,000]
  • Canada  (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
    • [$171,000 - $235,000]

This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.

Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

• Reporting to the Manager, Analytics Engineering

As a Senior Analytics Engineer, you’ll:

• Design and build scalable, reliable, and well-documented data models and pipelines that form the foundation of the analytics stack and support cross-functional business needs.
• Act as a strategic partner to cross-functional teams by deeply understanding business domains, fostering collaboration, and driving a culture of curiosity and continuous improvement through data.
• Contribute to the evolution of our data warehouse architecture, analytics engineering workflows, and BI layer—contributing to the development of intuitive dashboards and self-serve tools that empower data-informed decision-making.
• Collaborate closely with data analysts, data scientists, and data engineers to define and maintain trusted metrics, ensure data quality, and improve usability and accessibility of core data assets.
• Drive best practices in metric development, testing frameworks, lineage tracking, and documentation standards using tools such as dbt, Snowflake, and Tableau.

In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

About you:

You’ll thrive as a Senior Analytics Engineer if you:

• Have 4+ years of hands-on experience in analytics engineering or related data roles – You have deep experience building and maintaining scalable, reliable data models and infrastructure, ideally in a modern data stack environment.
• Have strong experience in the following disciplines/tools:
  • SQL
  • dbt
  • Data modeling
  • ETL/ELT
  • Cloud Warehouses
• Are tech-savvy and systems-oriented – You’re comfortable writing per working with dbt and tools like Snowflake and Tableau, and you’ve helped shape scalable workflows that balance speed and governance.
• Have a track record of building and scaling data foundations – You’ve led the implementation of high quality data models, data testing frameworks, dashboards, and documentation standards that enable trust and reusability.
• Have strong communication and project management skills