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Analytics Engineer, Enterprise Data

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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:

  • Designing and building executive and operational dashboards that leaders rely on to make decisions daily.
  • Building and shaping the analytics datasets behind those dashboards — writing the SQL, modeling the data, and preparing it so every view is fast, accurate, and consistent.
  • Turning complex, cross-functional data into clear, intuitive, trustworthy visual analytics.
  • Partnering with executives and business teams to understand the real questions behind their requests and deliver views that answer them.
  • Establishing standards for dashboard design, data modeling, storytelling, and self-service analytics across the company.
  • Ensuring the numbers behind every view are accurate, governed, and consistent — one source of truth, visualized.
  • Helping shape how Sangoma delivers analytics as the enterprise data platform matures.

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:

  • Tableau — advanced dashboard design, performance optimization, and best practices (required)
  • Strong SQL — writing complex queries to shape, transform, and validate data for analytics (required)
  • Data modeling for analytics — star schemas and well-structured, performant reporting datasets (required)
  • Python — for data preparation, transformation, and automating recurring analytics work
  • Translating business questions into clear, self-service dashboards
  • A strong eye for visual design, data storytelling, and executive-ready presentation
  • Attention to data accuracy, consistency, and governance in reporting

Experience in one or more of the following is a plus:

  • Cloud data warehouses such as Snowflake, Redshift, or equivalent
  • ERP and CRM platforms such as NetSuite and Salesforce
  • Working with modern data platforms / lakehouse environments
  • dbt or similar transformation and orchestration tools

Benefits

What We Offer:

    • Extended Healthcare Plan (Medical, Disability, Dental & Vision)
    • RPP - Group RRSP
    • Group Life - AD&D - Critical Illness Insurance
    • Paid Time Off Benefits
    • Work From Home - Flexible hours
    • Entrepreneurial work environment partnered with high growth career opportunities.

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.

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What this application asks

workable

First name, Last name, Email, Preferred Name, Phone, Address, Mailing Address:, Photo, LinkedIn, Resume, Experience, Education, Cover letter, Desired Salary Expectations?, Work Authorization, Will you now or in the future require sponsorship for employment VISA status?, Are you 18 years of age or older?, Have you ever worked for Sangoma and/or any of Sangoma's acquired companies?, If Yes to working at Sangoma or previous acquired companies, please give dates of employment and position:, Are you related to any person currently employed at this company?, If yes, please supply employee's name, How did you hear about Sangoma?, If "Employee Referral" please give employee name:, Available Start Date:, Please write a brief paragraph explaining why you would like to work for Sangoma, and/or how you feel you could best contribute to our success:, Acceptance of Terms & Applicant Certification We welcome candidates who use tools to help organize and present their experience. However, all information submitted as part of your application, resume, assessments, interviews, and any other hiring-related communications must accurately reflect your personal experience, qualifications, accomplishments, and contributions. By applying for this position, you certify that all information provided is truthful, complete, and accurately represents your own work, experience, leadership responsibilities, technical contributions, and professional achievements. You acknowledge that you may be asked to discuss your experience, project outcomes, technical decisions, and accomplishments in detail throughout the interview and hiring process. I certify that my answers to all questions and all information submitted during the application and hiring process are true and correct and do not contain any material omissions. I understand that any false, misleading, incomplete, or otherwise inaccurate statements, representations, or omissions made on my application materials or during the pre-employment process may result in disqualification from consideration, withdrawal of an employment offer, or, if employed, disciplinary action up to and including immediate termination of employment. By submitting this application, I acknowledge and agree to these terms., Privacy Policy Acknowledgement: By checking this box, you acknowledge and consent to terms of the privacy policy which applies to the applicant tracking service being offered by Workable on behalf of Sangoma. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. I have read and agree to this statement:

  • Approximately how many Tableau dashboards have you personally designed, built, and published to production? choose any
  • Which environment most closely matches where you've done your best work? choose any
  • Which environment best describes where you've spent MOST of your analytics career? choose any
  • Which best describes the data ecosystem you have worked in? choose any
  • Which best describes your role? choose any
  • Do you have the ability to work uninterrupted within the country without visa sponsorship? yes / no
  • Do you currently reside in either Canada or the United States? yes / no

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