Analytics Engineer
Machinify- Full Time
- Mid-level (3 to 4 years)
Candidates should possess a Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related area, and ideally have 5+ years of experience in data engineering or analytics, with a strong focus on data modeling and pipeline development. Experience with SQL and data warehousing technologies is essential, along with familiarity with cloud platforms like AWS or Google Cloud. Strong analytical and problem-solving skills are required, as is the ability to collaborate effectively with both technical and non-technical stakeholders.
As a Staff Analytics Engineer, you will be responsible for designing and building scalable data models and pipelines, ensuring high-quality data availability for analytics and decision-making, partnering on metric definitions and governance, and improving existing processes to maximize data utility. You will also work closely with stakeholders to transform data in ways that enhance the flexibility and repeatability of analysis, and contribute to establishing best practices for Webflow’s data functions, ultimately strengthening the company’s foundational data capabilities.
Visual web design and development platform
Webflow provides a platform for designing, building, and launching responsive websites without the need for coding. Users can create websites visually, making it accessible to those without technical skills. The platform caters to a wide range of clients, including freelancers, small businesses, and large enterprises, and is particularly favored by designers and marketers. Webflow operates on a subscription-based model, offering various pricing plans that accommodate different needs, from personal websites to advanced e-commerce solutions. Additionally, it provides hosting services and a marketplace for templates and design assets. Unlike traditional web development tools, Webflow's user-friendly interface and comprehensive features set it apart, aiming to simplify web design for everyone.