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Manager Data Analytics Engineer Jobs in Montreal, QC

IATA

Manager Safety Data Analytics

Montreal, QC · On-site

What your day would be like You will report to the Head of Global Aviation Data Management Programs and you will: Lead in the analysis of flight safety and operational performance data to support ...

IATA

Manager Safety Data Analytics

Montreal, QC · On-site

What your day would be like You will report to the Head of Global Aviation Data Management Programs and you will: Lead in the analysis of flight safety and operational performance data to support ...

Cogeco

Senior Director, Data & Analytics

Montreal, QC · Hybrid

Manage and coach the individual Chapter Area Leads and Team Leads for Data Science, Data Engineering, Data Architecture, and Data Analytics, guiding them to balance operational output with functional ...

Pelmorex

Data Engineer

Montreal, QC · On-site

... data analytics and insights platform. We're looking for a Data Engineer who enjoys building ... Manage Cloud Data Platforms: You will implement and optimize data models and storage across ...

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Manager Data Analytics Engineer information

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Montreal, QC?

The most popular types of Data Analytics Engineer jobs in Montreal, QC are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Montreal, QC?

For Manager Data Analytics Engineer jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Montreal, QC look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Montreal, QC are:

Manager Data Analytics Engineer jobs near you

Analytics Engineer, Enterprise Data

Sangoma

Montreal, QC • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted yesterday

Job description

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.

Apply