About the job
About Connecteam:
Connecteam is the premier platform designed for the management of deskless teams, with a trusted user base of over 80,000 businesses globally.
We developed Connecteam for real-world operators: those overseeing shifts, jobs, and teams across various locations. This work often takes place outside of traditional office environments, where messy spreadsheets and disjointed communication tools are not viable solutions.
Our platform consolidates daily operations and team communications into a single, intuitive application - encompassing hiring, scheduling, training, task management, and everyday coordination. It empowers teams with the clarity and control necessary to navigate their day efficiently, shift after shift, job after job.
With the support of over $220 million from prominent investors such as Insights Partners, Stripes, and Tiger Global, Connecteam is on a fast track to global expansion, enabling frontline teams to work more intelligently, stay connected, and achieve higher levels of efficiency.
Role Overview:
We are in the process of developing the next generation of our analytics platform, which will integrate robust data engineering principles with AI-driven automation to significantly enhance analytics development throughout the company.
We seek a Senior Analytics Engineer to design and establish the engineering foundation that underpins analytics across our organization.
Our mission is to establish a modern data environment that ensures analytics development is swift, reliable, scalable, and increasingly automated. This involves constructing solid data warehouse foundations, scalable modeling layers, and integrating AI-powered tools and automation to expedite the creation and utilization of data products.
In this position, you will collaborate within an analytics squad, working closely with analysts and business stakeholders to build infrastructure, automation frameworks, and intelligent tools that facilitate scalable analytics across the organization.
This is an exceptional opportunity to contribute to the evolution of our data organization.

