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GoCanvas

Analytics Engineer I (Remote, Canada)

SiteDocs, a GoCanvas company, seeks an Analytics Engineer I to join its team on a fully remote basis within Canada. The employer delivers digital safety management…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Applicants in Canada only
Salary
Not specified
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Published4h ago
Listing Views1
Applications0
Apply BeforeNo deadline

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AI Summary

As an Analytics Engineer I, you will design and maintain robust data pipelines, build scalable data models, and create actionable visualizations for internal teams. You will collaborate closely with stakeholders to translate ambiguous business requirements into technical execution plans that enhance operational visibility.

About This Role

SiteDocs, a GoCanvas company, seeks an Analytics Engineer I to join its team on a fully remote basis within Canada. The employer delivers digital safety management software designed to simplify workplace health and safety for industries such as construction, engineering, infrastructure, and logistics. Backed by the publicly traded Nemetschek Group, the organization helps field personnel and safety administrators replace paper processes, improve compliance, and achieve real-time operational visibility. In this…

Job Description

SiteDocs, a GoCanvas company, seeks an Analytics Engineer I to join its team on a fully remote basis within Canada. The employer delivers digital safety management software designed to simplify workplace health and safety for industries such as construction, engineering, infrastructure, and logistics. Backed by the publicly traded Nemetschek Group, the organization helps field personnel and safety administrators replace paper processes, improve compliance, and achieve real-time operational visibility.

In this position, the professional will work across multiple internal groups to analyze customer data needs, build data models, and create actionable visualizations that foster data-driven decision-making. The role offers opportunities to shape analytics strategies, establish best practices, and mentor teammates. Candidates will translate ambiguous business requirements into technical action plans while building robust data pipelines.

This opportunity suits individuals with one to three years of practical experience in SQL, ETL or ELT development, and data modeling who want to contribute to a mission-driven organization. The employer maintains a culture grounded in authentic relationships, continuous learning, interdependence, and data-driven decisions. Applicants must be eligible to work in Canada, as visa sponsorship is unavailable for this position.

Responsibilities

  • Write and optimize complex SQL queries to extract, transform, and analyze data from various sources.
  • Develop and maintain ETL and ELT pipelines to ingest information from internal and third-party systems.
  • Design and implement scalable data models based on customer and business needs.
  • Partner with cross-functional departments to evaluate data requirements and recommend solutions.
  • Generate data visualizations and dashboards using business intelligence platforms.
  • Translate loosely defined business requirements into technical specifications and action plans.
  • Contribute to the evolution of analytics documentation, standards, and best practices.
  • Mentor and support colleagues while serving as a resource for the wider organization.

Requirements

  • 1 to 3 years of SQL experience, including writing and optimizing complex queries
  • 1 to 3 years of ETL or ELT development experience
  • 1 to 3 years of data modeling experience
  • Eligibility to work in Canada without visa sponsorship

Qualifications

  • Experience with business intelligence data visualization tools such as Domo, Sisense, Tableau, Power BI, MicroStrategy, or Looker
  • Familiarity with transformation frameworks like dbt
  • Experience using cloud data warehouse platforms such as Snowflake, BigQuery, or Redshift
  • Working knowledge of Python or another scripting language for data transformation
  • Experience with version control tools such as Git
  • Understanding of data quality, testing, and validation practices

Core Skills

Benefits

  • Health insurance covering medical, dental, and vision
  • Life insurance
  • 401(k) plan
  • Paid time off

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

Where is the Analytics Engineer I position located?

This role is a fully remote opportunity based for applicants located in Canada.

What is the expected salary range for this job?

The expected base salary range is approximately $108,400 to $126,500 CAD, with the final offer determined by qualifications, experience, skillset, and geographic location.

Does the company provide visa sponsorship?

No, the company is not able to sponsor visas and requires candidates to be eligible to work in Canada.

Role DNA (AI assessment)

This role balances foundational data engineering technical skills with high cross-functional stakeholder interaction in a structured yet growing team environment.

Job ComplexityModerate
Pace & PressureModerate
Autonomy LevelModerate
Communication LoadHigh

Salary Analysis

No compensation was provided in the posting; the estimated CAD $80,000–$110,000 range reflects standard market rates for a early-career Analytics Engineer in Canada.

Employer-Listed Salary

Not disclosed

As stated in this job posting.

AI salary estimate (not from the employer)

CAD 80,000/yrMedian: CAD 92,000/yrCAD 110,000/yr

AI-estimated market range based on role, seniority, and location — not a guaranteed offer, and independent of the employer's own figure above.

Sample Interview Questions

AI-generated questions tailored to this specific role — a preview of the full practice set.

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Posted by GoCanvas

Source: Remote First Jobs — Writing

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Posted by employer: Oct 11, 2026

Added to Jobsiz: Oct 12, 2026

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The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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