Senior Analytics Engineer

About the Position

Senior Analytics Engineer – Analytics Platform

Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide. We bring daily operations and team communication into one intuitive app, empowering frontline teams to work smarter and stay connected.

We are building the next generation of our analytics platform, combining strong data engineering foundations with AI-driven automation to accelerate analytics development across the company. We are looking for a Senior Analytics Engineer to help design and build the engineering foundation that powers analytics across the organization.

Our goal is to create a modern data environment where analytics development is fast, reliable, scalable, and increasingly automated. This includes building strong data warehouse foundations, scalable modeling layers, and introducing AI-powered tools and automation that accelerate how data products are built and used.

In this role, you will be part of the data group, working closely with analytics engineers, analysts, and business stakeholders while building the infrastructure, automation frameworks, and intelligent tooling that enable analytics to scale across the organization.

This is a unique opportunity to help build the next generation of the data organization.

Responsibilities

• Building tools and workflows that automate analytics development, dashboards, and data exploration
• Design and build scalable data warehouse models and transformation layers
• Build and optimize ETL pipelines and core analytics infrastructure (Bronze / Silver)
• Improve performance, reliability, and scalability of the analytics platform
• Develop automation and internal tools that accelerate analytics workflows
• Enable self-serve data access across the company through semantic layers and reusable datasets

Requirements

• 6+ years of experience in Data Engineering and Analytics Engineering roles, building modern data warehouses and analytics platforms using technologies such as BigQuery, dbt, and Python
• Experience with workflow orchestration (Dagster, Airflow, or equivalent) and building reliable, observable data pipelines
• Hands-on experience using AI coding platforms and tools to automate data engineering and analytics workflows
• Strong engineering practices including version control (Git), testing, code reviews, and CI/CD
• Experience building automation systems and internal tools for data teams
• Experience working closely with analysts, product teams, and business stakeholders in analytics-driven environments
• Strong problem-solving skills with a builder mindset

We Offer

• We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties.
• We make an impact on our customer’s business. We are on a mission to provide managers of all business types and sizes with the tools they need to communicate, operate, engage, and run their deskless workforce. Our product offers them an effective and affordable solution to run their business.
• We get the job done. Connecteam employees are passionate in executing their job duties so they can drive the company forward and provide real value to our customers.
• We have fun! From weekly happy hours to holiday parties, we always enjoy each other’s company (and good food, of course). Connecteam is like one big, happy family!
• Everyone is welcome. Connecteam is committed to building an encouraging, caring, and supportive environment. We share a responsibility to support our team and enrich their lives.

About the Company

Together we will shape the future of work!

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