Data Analytics Engineer (Remote - Canada)

Jobgether; Canada; Remote; CAD 70,000 - 100,000; Full time

Job summary

A leading company is seeking a Data Analytics Engineer to deliver actionable insights and support scientific innovation across departments. This role involves building reports and collaborating with stakeholders on analytics solutions, requiring strong SQL skills and a bachelor's degree in a technical field. It offers a remote-friendly culture with opportunities for professional development.

Benefits

Competitive compensation and benefits package

Opportunities for continuous learning

Inclusive environment

Meaningful work contributing to scientific progress

Qualifications

• 2–5 years of experience in analytics engineering or data engineering.
• Advanced SQL skills with knowledge of window functions and query optimization.
• Experience maintaining data documentation.

Responsibilities

• Build and maintain scalable reports and dashboards.
• Collaborate with stakeholders to identify KPIs and deliver insights.
• Conduct ad hoc analyses to address urgent business questions.

Skills

SQL

Analytics

Data interpretation

Collaboration

Attention to detail

Education

Bachelor's degree in a quantitative or technical field

Tools

BI tools (e.g., Looker, Tableau)

Git

Job description

This position is posted by Jobgether on behalf of Dotmatics. We are currently looking for a Data Analytics Engineer in Canada.

Join a fast-growing, mission-driven company at the intersection of science and technology, where your work will directly support scientific innovation on a global scale. This role focuses on delivering actionable insights that enhance business operations, empowering cross-functional teams with data they can trust. You’ll collaborate with stakeholders across departments to develop scalable, high-impact analytics solutions while helping define best practices in a dynamic, remote-friendly environment. If you're passionate about analytics, problem-solving, and making data meaningful, this is your opportunity to contribute to something with real-world impact.

Accountabilities:

• Build and maintain scalable reports and dashboards that drive business visibility and data-informed decisions.
• Collaborate with stakeholders across Sales, Product, Marketing, and Finance to identify KPIs, gather requirements, and deliver insights.
• Support data self-service efforts by encouraging adoption of internal data tools and assets.
• Conduct ad hoc analyses to address urgent business questions and provide meaningful data interpretations.
• Contribute to improving data quality, observability, and documentation through standardization and best practices.
• Play a key role in shaping internal analytics processes and tooling standards for long-term scalability.

• 2–5 years of experience in analytics engineering, data engineering, or related analytical roles.
• Bachelor's degree in a quantitative or technical field (e.g. Computer Science, Engineering, Math, Economics) or equivalent experience.
• Advanced SQL skills with strong knowledge of window functions, CTEs, and query optimization.
• Proven ability to collaborate with business stakeholders to define requirements and translate them into analytical outputs.
• Experience maintaining data documentation (data dictionaries, dbt Docs, wikis).
• Strong analytical mindset with a curious, self-driven attitude and attention to detail.

Preferred but not required:

• Proficiency in Python or shell scripting.
• Experience with version control tools like Git and CI/CD workflows.
• Familiarity with BI tools such as Looker, Mode, or Tableau.
• Background in data quality assurance and testing processes.

• Remote-friendly culture with a collaborative global team.
• Meaningful work contributing to scientific progress and innovation.
• Competitive compensation and benefits package.
• Opportunities for continuous learning and professional development.
• Inclusive environment that encourages diversity, openness, and integrity.
• Be part of the world’s largest cloud-based scientific R&D platform.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job’s core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then made by their internal hiring team.

Thank you for your interest!

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