At a Glance
- Tasks: Help shape data usage and trust for informed decision-making.
- Company: Partner company focused on innovative data practices in Canada.
- Benefits: Competitive salary, remote work flexibility, and growth opportunities.
- Other info: Collaborative culture with a focus on learning and professional development.
- Why this job: Make a real impact by improving data quality and accessibility.
- Qualifications: 1-2 years in analytics engineering or data analysis with SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Associate Analytics Engineer based in Canada.
This role offers the opportunity to help shape how organizations use and trust data to make informed decisions.
You will contribute to building reliable data models, pipelines, and governance practices that support business operations and AI-driven workflows.
Working closely with experienced analytics and data engineering professionals, you will develop your technical expertise while delivering meaningful impact.
The position combines software engineering principles with analytics, enabling you to create scalable and well-documented data solutions.
You will play a key role in improving data quality, accessibility, and usability across teams.
This is an ideal opportunity for someone curious, detail-oriented, and eager to grow within a modern data environment.
Accountabilities
As an Associate Analytics Engineer, you will support the development and maintenance of reliable data systems while helping teams transform raw information into valuable business insights.
You will collaborate with technical and business stakeholders to create trusted data assets, improve data processes, and contribute to a culture of data-driven decision-making.
- Build and maintain data models and pipelines that provide accurate, tested, and documented data for business users and downstream systems.
- Contribute to data quality initiatives, model documentation, and lineage tracking within analytics projects.
- Support the delivery of data into business applications and AI-powered workflows.
- Learn and apply best practices for source-of-truth models, metric definitions, and data structures.
- Use AI tools to automate analytics engineering workflows, reduce repetitive tasks, and create new capabilities.
- Partner with data platform teams to ensure reliable production pipelines and data models.
- Collaborate with stakeholders to understand data needs and translate business requirements into reusable data solutions.
Requirements
The ideal candidate has a foundation in analytics engineering, data analysis, or a related technical discipline, with a strong interest in developing expertise in modern data practices.
You should combine technical curiosity with strong communication skills and the ability to understand how data supports business outcomes.
- 1–2 years of experience in analytics engineering, data analysis, or a related technical role.
- Foundational SQL skills and exposure to dbt or modern data stack technologies, with a desire to deepen expertise.
- Curiosity and practical interest in using AI to automate processes and improve productivity.
- Familiarity with Python and basic knowledge of data schemas, pipelines, and data modeling concepts.
- Ability to understand business needs and translate them into reliable, governed data assets.
- Strong attention to detail and ability to create clear definitions and documentation for technical and non-technical audiences.
- Ability to work Eastern Time hours to support operational needs.
- Strong problem-solving mindset with curiosity, initiative, and adaptability in evolving environments.
- Clear communication skills with the ability to collaborate across technical and business teams.
- Openness to feedback, continuous learning, and improving processes.
Benefits
• Competitive compensation package
- Canada base salary range: CAD $98,000 – $122,750.
- Remote work flexibility within Canada.
- Opportunity to grow technical expertise in analytics engineering and modern data platforms.
- Exposure to AI-powered workflows and innovative data practices.
- Collaborative environment with opportunities to work alongside experienced engineering professionals.
- Supportive culture focused on learning, feedback, and professional development.
- Reasonable accommodations provided throughout the hiring process and employment experience.
We appreciate your interest and wish you the best!
Data Privacy Notice
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer.
This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR).
You may exercise your rights (access, rectification, erasure, objection) at any time.
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Associate Analytics Engineer employer: Jobgether
At Jobgether, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our remote working environment allows for flexibility while providing ample opportunities for professional growth and development in the tech industry. Join us to make a meaningful impact in enhancing open-source technology adoption, all while enjoying the benefits of a supportive team and a commitment to your career advancement.
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We think this is how you could land Associate Analytics Engineer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Associate Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jobgether. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jobgether
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
