Analytics Engineer, Enterprise Data
See It. Build It. Own it.
Sangoma is a global leader in business communications, delivering cloud-based solutions that help organizations connect, collaborate, and engage with their customers. Our portfolio includes Unified Communications (UCaaS), Contact Center (CCaaS), VoIP, SIP Trunking, Managed Connectivity, and Customer Experience solutions serving businesses worldwide.
Data is becoming one of Sangoma's most strategic assets — and how leaders see that data is what turns it into decisions. As we modernize our enterprise platform, you will own the analytics and visualization layer that puts trusted, timely insight in front of executives and business teams across the company. We're assembling a small, high-caliber team to build an enterprise decision-intelligence capability from the ground up. This is a greenfield opportunity to define how Sangoma sees and acts on its data. You won't inherit a wall of legacy dashboards. You'll design the ones that leaders actually use. Working across Finance, Operations, Product, and Engineering, you'll turn complex data into clear, reliable analytics that the business trusts — building both the datasets underneath and the dashboards on top.
You'll make an impact by:
Requirements
Your Background:
You are a visualization and analytics specialist who loves turning messy, complex data into dashboards people actually use — and you build the data layer that feeds them yourself. You care as much about clarity and how a decision-maker consumes information as about the accuracy of the data underneath. You're comfortable working directly with business and executive stakeholders to find the real question and build the view that answers it.
You bring experience with:
Experience in one or more of the following is a plus:
Benefits
What We Offer:
Are you ready to make a direct impact on the company and be rewarded for your performance? Are you ready to take on a new challenge?
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.
Analytics Engineer, Enterprise Data • Toronto, ON, CA
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