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Senior Analytics Engineer – Analytics Platform Who Connecteam is: Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide. We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other. Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job. Backed by $220M+ from Insights Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency. About The Role We are building the next generation of our analytics platform — combining strong data engineering foundations with AI-driven automation to dramatically 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. Key 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 Experience & Skills 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 #LI-Hybrid Joining Connecteam Is The Smart Move: 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. Together we will shape the future of work! Our privacy policy
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.