Analytics Engineering Team Lead
airSlate
Analytics Engineering Team Lead
airSlate
No-code document workflow automation SaaS
We are looking for a hands-on leader to run Data Enablement. The team that owns how our data is modeled, trusted, and made ready for the business and for AI. You will lead analytics engineers and web analytics specialists, own the semantic layer end-to-end, and turn raw product and event data into curated, well-documented datasets that people can rely on.
Own the semantic layer. Design, build and evolve SQL-based models and metric definitions so that one number means one thing across all our products.
Raise data curation and automate the routine. Move the team from ad hoc requests to reusable, tested, documented datasets that people and our AI data assistant can query directly, with tracking checks and data-quality monitoring on autopilot.
Set standards and partner across the data organization. Modeling conventions, version control, testing and release practices, code review; work with Data Business Partners, Data Science / ML and Data Platform on scope and ownership. Stay close to the code on critical builds.
AirSlate provides a SaaS platform for automating and managing document workflows without coding. It uses AirSlate WorkFlow, a no-code tool that connects hundreds of cloud apps to design, deploy, and track end-to-end document processes with a visual drag-and-drop interface. The platform differentiates itself by offering broad no-code workflow automation across many cloud services for multiple industries under a subscription model, avoiding custom development. Its goal is to help organizations digitize processes, automate repetitive tasks, and improve efficiency.
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